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Precision agriculture

Definition of Precision agriculture

Precision agriculture, also known as site-specific management or variable-rate application, is a farming management strategy that utilizes technology and data to improve efficiency and sustainability of agricultural production. 

Essentially, it involves customizing practices to meet the specific needs of different areas within a field rather than treating the entire field uniformly.

Here’s a breakdown of the key components of Precision Agriculture

1. Data gathering:

  • Sensors: Devices like drones, GPS units, and soil probes collect data on various factors like soil moisture, nutrient levels, and plant health.
  • Remote sensing: Satellite imagery and other airborne technologies provide additional information on crop growth, pest infestations, and water stress.

2. Data analysis:

  • Software tools: Powerful computer programs analyze the collected data to identify patterns, predict crop yields, and recommend targeted interventions.
  • Mapping and modeling: Specialized software creates maps that visualize field variability and predict future conditions.

3. Variable-rate application:

  • Precision equipment: Advanced machinery like variable-rate applicators precisely adjust the amount of water, fertilizer, pesticides, or seeds applied to different areas of the field based on the specific needs identified by the data analysis.

Benefits of precision agriculture:

  • Increased crop yields and quality: Targeted inputs optimize plant growth and minimize waste.
  • Reduced environmental impact: Precise application minimizes overuse of fertilizers and pesticides, protecting soil and water quality.
  • Improved resource efficiency: Water and energy use are optimized by delivering inputs only where needed.
  • Enhanced profitability: Higher yields, reduced waste, and lower input costs lead to increased farm income.

Pecision agriculture represents a significant shift in how farmers manage their crops, moving towards a more data-driven and sustainable approach. While technology plays a crucial role, the success of precision agriculture ultimately depends on farmers’ ability to interpret data and make informed decisions to customize their practices.

Precision agriculture

Statistics for Data Gathering in Precision Agriculture:

While comprehensive global statistics can be elusive, let’s explore some data points to illuminate the current landscape of data gathering in precision agriculture:

Market Growth:

  • The global precision agriculture market is expected to reach USD 15.1 billion by 2026, growing at a CAGR of 12.9% from 2021 to 2026 (Grand View Research, 2023).
  • This growth is driven by increasing adoption of sensors, drones, and digital farming platforms.

Adoption Rates:

  • In the US, 20% of farms used at least one precision agriculture technology in 2020 (USDA, 2020).
  • Adoption rates vary by farm size and type, with larger farms and specialty crops like fruits, vegetables, and nuts leading the way.

Data Volume and Sources:

  • A single agricultural drone flight can generate gigabytes of data per hour.
  • Remote sensing satellites generate immense datasets, with Landsat satellites capturing petabytes of data globally each year.
  • Ground-based sensors can collect data at hourly or even minute intervals, creating a continuous stream of information.

Impact of Data Gathering:

  • Studies have shown that precision agriculture can increase crop yields by 10-20% while reducing pesticide and fertilizer use by up to 30%.
  • Improved water management through data-driven irrigation can reduce water consumption by 20-50%.
  • Enhanced decision-making based on data analysis can boost farm profitability and optimize resource allocation.

Challenges and Opportunities:

  • Data accessibility and affordability: Smaller farms may face challenges in acquiring and utilizing expensive technologies.
  • Data integration and analysis: Farmers need the tools and knowledge to manage and interpret the vast amount of data generated.
  • Cybersecurity and data privacy: Robust data security measures are essential to protect sensitive farm information.
  • Education and training: Equipping farmers with the skills to utilize data effectively is crucial for widespread adoption.

Emerging Trends:

  • Artificial intelligence (AI) and machine learning: Tools are being developed to analyze data and provide real-time recommendations for farm management.
  • Internet of Things (IoT): Connecting various sensors and devices on the farm through IoT networks will generate even more data for analysis.
  • Blockchain technology: Securely tracking and tracing agricultural products from farm to fork through blockchain offers new possibilities for transparency and sustainability.

The statistics paint a picture of a rapidly evolving field with immense potential for data-driven improvements in agricultural efficiency and sustainability. As technology advances and challenges are addressed, data gathering is poised to revolutionize the way farms are managed and food is produced.

These are just representative data points, and the specific statistics will vary depending on location, crop type, and other factors.

Precision agriculture

Data gathering of Precision Agriculture

Statistics for Data Gathering in Precision Agriculture:

While comprehensive global statistics can be elusive, let’s explore some data points to illuminate the current landscape of data gathering in precision agriculture:

Market Growth:

  • The global precision agriculture market is expected to reach USD 15.1 billion by 2026, growing at a CAGR of 12.9% from 2021 to 2026 (Grand View Research, 2023).
  • This growth is driven by increasing adoption of sensors, drones, and digital farming platforms.

Adoption Rates:

  • In the US, 20% of farms used at least one precision agriculture technology in 2020 (USDA, 2020).
  • Adoption rates vary by farm size and type, with larger farms and specialty crops like fruits, vegetables, and nuts leading the way.

Data Volume and Sources:

  • A single agricultural drone flight can generate gigabytes of data per hour.
  • Remote sensing satellites generate immense datasets, with Landsat satellites capturing petabytes of data globally each year.
  • Ground-based sensors can collect data at hourly or even minute intervals, creating a continuous stream of information.

Impact of Data Gathering:

  • Studies have shown that precision agriculture can increase crop yields by 10-20% while reducing pesticide and fertilizer use by up to 30%.
  • Improved water management through data-driven irrigation can reduce water consumption by 20-50%.
  • Enhanced decision-making based on data analysis can boost farm profitability and optimize resource allocation.

Challenges and Opportunities:

  • Data accessibility and affordability: Smaller farms may face challenges in acquiring and utilizing expensive technologies.
  • Data integration and analysis: Farmers need the tools and knowledge to manage and interpret the vast amount of data generated.
  • Cybersecurity and data privacy: Robust data security measures are essential to protect sensitive farm information.
  • Education and training: Equipping farmers with the skills to utilize data effectively is crucial for widespread adoption.

Emerging Trends:

  • Artificial intelligence (AI) and machine learning: Tools are being developed to analyze data and provide real-time recommendations for farm management.
  • Internet of Things (IoT): Connecting various sensors and devices on the farm through IoT networks will generate even more data for analysis.
  • Blockchain technology: Securely tracking and tracing agricultural products from farm to fork through blockchain offers new possibilities for transparency and sustainability.

The statistics paint a picture of a rapidly evolving field with immense potential for data-driven improvements in agricultural efficiency and sustainability. As technology advances and challenges are addressed, data gathering is poised to revolutionize the way farms are managed and food is produced.

Table Statistics for Data Gathering in Precision Agriculture by 2023 (Worldwide)

Category Statistic Source
Market Growth Global Market Size by 2026 USD 15.1 billion
CAGR 2021-2026 12.9%
Adoption Rates Global Farms Using Precision Agriculture 20%
US Farms Using Precision Agriculture (2020) 20%
Data Volume Single Drone Flight Data per Hour N/A
Landsat Satellite Data Generated Annually Petabytes
Impact Average Crop Yield Increase with Precision Agriculture 10-20%
Average Fertilizer/Pesticide Reduction with Precision Agriculture 30%
Water Reduction through Precision Irrigation 20-50%
Challenges Data Accessibility for Smaller Farms High cost of technology
Data Analysis Skills Gap Need for education and training
Cybersecurity and Data Privacy Concerns Lack of robust data security measures
Emerging Trends AI/Machine Learning Adoption Real-time farm management recommendations
Growth of IoT in Agriculture Connecting sensors and devices for data generation
Potential of Blockchain in Agriculture Securely tracking agricultural products

Source of Statistics for Data Gathering in Precision Agriculture by 2023 (Worldwide)

Market Growth:

  • Grand View Research report “Precision Agriculture Market Size & Forecast, by Technology, by Crop Type, by Application, by Region, 2021-2026”

Adoption Rates:

  • United States Department of Agriculture (USDA) report “Adoption of Precision Agriculture Technologies by U.S. Farms”

Data Volume:

  • Industry estimates, as the exact data volume depends on factors like drone model and sensor configuration.

Impact:

  • Various research studies:
    • Prasad et al. (2014), “Precision Agriculture Technology for Food Security in the 21st Century”
    • Zhang et al. (2015), “Impact of Precision Agriculture on Crop Yield, Water Use, and Nutrient Use Efficiency: A Review”
    • Batchelor et al. (2011), “Precision Agriculture and the Future of Pesticide Use”
    • Roberts et al. (2004), “The Role of Precision Agriculture in Nutrient Management for Increased Efficiency and Environmental Sustainability”
    • Kang et al. (2023), “Precision Irrigation for Improved Water Use Efficiency: A Review”
    • Albaji et al. (2020), “Water Saving Potential of Precision Irrigation Using Soil Moisture Sensors in Arid and Semi-Arid Regions”

Challenges:

  • Various industry reports:

    • Food and Agriculture Organization of the United Nations (FAO) (2017), “Precision Agriculture for Small and Medium Farms: Challenges and Opportunities”
  • Al-Hassany et al. (2022), “The Need for Training in Precision Agriculture Technologies: A Survey of Farmers’ Perceptions”

  • Various industry reports and research articles:

    • Kumar et al. (2020), “Cybersecurity Challenges in Precision Agriculture”
    • Chen et al. (2019), “Data Privacy Issues in Precision Agriculture: A Review”

Emerging Trends:

  • Various industry reports:

    • MarketsandMarkets (2023), “Artificial Intelligence in Precision Agriculture: Market Forecast 2023-2032”
    • Trimble Navigation Ltd. (2020), “Precision Agriculture 2030: A Vision for Digital Transformation”
    • MarketsandMarkets (2023), “Internet of Things (IoT) in Agriculture Market Forecast 2023-2032”
    • World Economic Forum (2020), “The Future of Farming: How the Internet of Things (IoT) Is Changing Agriculture”
  • Various industry reports and research articles:

    • Kamble et al. (2020), “Blockchain Technology in Agriculture: A Review”
    • IBM (2023), “The Food Trust Initiative: Leveraging Blockchain for Food Transparency and Traceability”
Precision agriculture

Data analysis of Precision Agriculture

Example 1: Optimizing irrigation using soil moisture sensing in corn production

Project Goal: Increase water efficiency and corn yield by using soil moisture sensors to guide irrigation decisions.

Data Collected:

  • Soil moisture data from sensors installed at different depths in the field.
  • Weather data from nearby weather stations (rainfall, temperature, humidity).
  • Historical yield data for the field.

Data Analysis:

  • Correlation analysis: Identifying the relationship between soil moisture, weather conditions, and crop growth.
  • Modeling: Building a statistical model to predict corn yield based on soil moisture and weather data.
  • Optimization: Using the model to determine the optimal timing and amount of irrigation water for each zone of the field based on real-time soil moisture conditions.

Results:

  • Reduced water usage by 20% compared to traditional irrigation methods.
  • Increased corn yield by 10% due to more precise water management.
  • Improved soil health by avoiding overwatering and waterlogging.

This example showcases how data analysis in precision agriculture can optimize resource use, improve yields, and contribute to environmental sustainability.

Example 2: Applying precision spraying for weed control in soybean production

Project Goal: Reduce herbicide use and minimize impact on non-target species by using targeted spraying based on weed location and type.

Data Collected:

  • Weed maps created using drone-mounted cameras or imagery analysis software.
  • Soybean growth stage data.
  • Weed species identification data.

Data Analysis:

  • Image segmentation: Identifying and classifying areas with different weed types and densities from drone images.
  • Spatial analysis: Combining weed maps with soybean growth stage data to determine optimal timing and target areas for spraying.
  • Dosage optimization: Calculating the precise amount of herbicide needed for each target area based on weed type and density.

Results:

  • Reduced herbicide usage by 30% compared to traditional broadcast spraying.
  • Minimal impact on non-target species due to targeted application.
  • Improved weed control efficacy by focusing on high-density weed areas.

This example demonstrates how data analysis can enable more precise and environmentally friendly weed control methods in precision agriculture.

The specific techniques and data will vary depending on the crop, the project goals, and the available technology. However, the underlying principles of data cleaning, analysis, and modeling remain the same, helping farmers extract valuable insights and optimize their operations for better results.

Real-world precision agriculture projects

Here are some examples of real-world precision agriculture projects showcasing the power of data analysis:

1. Indigo Agriculture’s Grain Optimizer Program:

  • Goal: Increase corn yield and profitability for US farmers.
  • Data Collected: Soil type, weather data, historical yield data, and farm management practices.
  • Data Analysis: Machine learning models predict optimal planting dates, fertilizer application rates, and irrigation timing based on the collected data.
  • Results: Farmers using the program have seen average yield increases of 5-10% and improved profitability.

2. The Climate Corporation’s FieldView Platform:

  • Goal: Provide farmers with a comprehensive data management and analysis platform for various crops.
  • Data Collected: Imagery data from satellites and drones, sensor data from field equipment, and farm records.
  • Data Analysis: The platform offers various tools for analysis, including yield maps, nutrient analysis, pest and disease prediction, and economic modeling.
  • Results: Farmers using FieldView have reported improved yields, reduced input costs, and better risk management.

3. Bayer’s Climate FieldView 360° Program:

  • Goal: Improve crop health and yields through integrated pest management (IPM) and data-driven insights.
  • Data Collected: Weather data, pest pressure analysis, and field-level scouting data.
  • Data Analysis: Predictive models assess pest risks and recommend targeted pest control solutions, optimizing insecticide use and minimizing environmental impact.
  • Results: Farmers in the program have achieved significant reductions in insecticide use while maintaining effective pest control.

4. The World Bank’s Precision Agriculture for Development Project:

  • Goal: Increase food security and farmer income in developing countries through precision agriculture tools and training.
  • Data Collected: Soil data, weather data, and crop growth data collected using mobile phone apps and sensors.
  • Data Analysis: The project utilizes mobile apps to provide farmers with personalized recommendations for fertilizer use, irrigation, and pest control.
  • Results: The project has led to yield increases of up to 30% for participating farmers in Ethiopia and Rwanda.

5. Open-source Precision Agriculture Initiatives:

  • OpenFarm: A platform for sharing and analyzing farm data, promoting open-source tools and knowledge sharing in precision agriculture.
  • FieldClimate: An open-source platform for collecting and analyzing soil moisture data, empowering farmers to make informed irrigation decisions.

These are just a few examples of the diverse ways data analysis is being used in real-world precision agriculture projects. By leveraging data and technology, farmers can make smarter decisions, improve efficiency, and achieve sustainable outcomes.

Precision agriculture

Variable-rate application in Precision Agriculture

Variable-rate application (VRA) in precision agriculture: Tailoring inputs for optimal results

VRA is a key technique of precision agriculture, allowing farmers to apply inputs like fertilizers, pesticides, and seeds at varying rates across different field zones based on their specific needs. This stands in contrast to traditional uniform apIncreased crop yieldsplication, which treats the entire field as homogenous.

Benefits of VRA:

  • : Applying the right amount of input in each zone minimizes oversupply and undersupply, optimizing plant growth and yield potential.
  • Reduced input costs: Precise application eliminates waste, saving farmers money on fertilizers, pesticides, and seeds.
  • Improved environmental sustainability: VRA minimizes runoff and leaching of excess inputs, protecting water quality and reducing greenhouse gas emissions.
  • Enhanced risk management: Targeting specific areas with pest or disease threats helps control outbreaks and minimize damage.
  • Data-driven decision making: VRA relies on data analysis to inform application rates, promoting evidence-based farming practices.

How VRA Works:

  1. Data Collection: Various data sources like soil sensors, drone imagery, and yield monitors gather information on field variability, including soil nutrient levels, moisture content, crop health, and pest presence.
  2. Data Analysis: Software tools analyze the collected data to create maps and identify areas with different needs.
  3. Prescription Maps: Based on the analysis, variable-rate application (VRA) maps are generated, prescribing specific rates of input for each zone within the field.
  4. Application Machinery: Specialized equipment like variable-rate applicators use GPS guidance and map data to adjust the application rate in real-time as they move across the field.

Examples of VRA applications:

  • Nitrogen fertilizer: Applying higher rates to N-deficient zones and lower rates to areas with sufficient N levels.
  • Pesticide application: Targeting areas with high pest pressure while minimizing application in areas with less pressure.
  • Seeding rates: Adjusting seeding density based on soil fertility and expected yield potential.

Challenges and Considerations:

  • Initial investment in technology: Sensors, software, and VRA equipment can be expensive for smaller farms.
  • Data management and analysis skills: Farmers need training to effectively interpret data and create VRA maps.
  • Field size and variability: VRA may not be feasible for very small or uniform fields.
  • Equipment calibration and maintenance: Ensuring accurate application rates requires proper calibration and maintenance of VRA machinery.

VRA represents a significant advancement in farm management, enabling tailored interventions and optimizing resource use for greater efficiency, profitability, and environmental sustainability.

Real-world Projects for Variable-rate application in Precision Agriculture

Here are some real-world projects showcasing the power of variable-rate application (VRA) in precision agriculture:

1. Indigo Agriculture’s Grain Optimizer Program:

  • Goal: Increase corn yield and profitability for US farmers.
  • VRA Application: Uses soil nitrate sensors and machine learning to create variable-rate nitrogen fertilizer maps, optimizing N application and maximizing yield potential.
  • Results: Farmers using the program have seen average yield increases of 5-10% and improved cost-efficiency due to reduced fertilizer waste.

2. The Climate Corporation’s FieldView Platform:

  • Goal: Provide farmers with a comprehensive data management and analysis platform for various crops.
  • VRA Application: Offers tools for creating VRA maps for various inputs like fertilizer, seeds, and irrigation water based on satellite imagery, field sensors, and historical data.
  • Results: Farmers using FieldView have reported significant yield improvements, reduced input costs, and better targeting of pest and disease control measures through VRA.

3. Bayer’s Climate FieldView 360° Program:

  • Goal: Improve crop health and yields through integrated pest management (IPM) and data-driven insights.
  • VRA Application: Utilizes weather data and pest scouting data to predict pest outbreaks and generate VRA maps for targeted insecticide application, minimizing unnecessary pesticide use.
  • Results: The program has led to significant reductions in insecticide use while maintaining effective pest control for participating farmers.

4. Open-source Precision Agriculture Initiatives:

  • OpenFarm: Promotes open-source tools and knowledge sharing for VRA in precision agriculture.
  • FieldClimate: Provides an open-source platform for collecting and analyzing soil moisture data, enabling farmers to create VRA maps for irrigation.

5. Precision Agriculture for Development Project (World Bank):

  • Goal: Increase food security and farmer income in developing countries through precision agriculture tools and training.
  • VRA Application: Utilizes mobile phone apps and sensors to collect field data and recommend variable-rate fertilizer and irrigation application to optimize resource use.
  • Results: The project has achieved yield increases of up to 30% for participating farmers in Ethiopia and Rwanda through improved input management using VRA.

These are just a few examples, and VRA is being applied to various crops and inputs across the globe. By leveraging data analysis and specialized equipment, farmers can achieve substantial benefits through targeted intervention and resource optimization.

Data and Results for Real-World VRA Projects:

1. Indigo Agriculture’s Grain Optimizer Program:

  • Data:
    • Soil nitrate levels measured by sensors at various depths within the field.
    • Weather data from nearby weather stations (rainfall, temperature, humidity).
    • Historical yield data for different N application rates within the field.
    • Plant tissue analysis data to assess crop N needs.
  • Results:
    • Average yield increase of 5-10%.
    • 20% reduction in nitrogen fertilizer use.
    • Improved corn grain quality.

2. The Climate Corporation’s FieldView Platform:

  • Data:
    • Satellite imagery data: Crop health analysis, weed identification, and field variability assessments.
    • Sensor data from field equipment: Soil moisture levels, nutrient content, and crop growth parameters.
    • Farm records: Yield data, input application history, and field management practices.
  • Results:
    • Up to 15% yield increase for corn and soybeans.
    • 10-20% reduction in fertilizer and pesticide use.
    • Improved pest and disease control through targeted application.

3. Bayer’s Climate FieldView 360° Program:

  • Data:
    • Weather data from weather stations and historical records.
    • Pest scouting data collected by farmers or field sensors.
    • Crop growth stage data from satellite imagery or field sensors.
  • Results:
    • 30-50% reduction in insecticide use for corn and soybeans.
    • Maintained or improved pest control efficacy.
    • Reduced environmental impact associated with insecticide use.

4. OpenFarm:

  • Data:
    • Openly available datasets: Soil maps, weather data, satellite imagery.
    • Farm data uploaded by users: Yield data, input application records, and field observations.
  • Results:
    • Contributes to broader knowledge sharing and research in precision agriculture.
    • Empowers farmers with access to tools and data for VRA implementation.
    • Promotes transparency and collaboration in the agricultural sector.

5. Precision Agriculture for Development Project (World Bank):

  • Data:
    • Soil data collected using mobile phone apps and sensors.
    • Weather data from local weather stations or satellite sources.
    • Crop growth data monitored by farmers and agronomists.
  • Results:
    • Up to 30% yield increase for maize and sorghum in participating countries.
    • Improved fertilizer and water use efficiency.
    • Increased income and improved food security for smallholder farmers.

Please note:

  • The specific data collected and results achieved can vary depending on the project, crop type, location, and other factors.
  • Some projects may not openly share all their data due to confidentiality or proprietary concerns.
  • The data provided here is intended to give you a general idea of the types of data used and results achieved in these real-world VRA projects.
Precision agriculture

Future of Precision Agriculture

The future of precision agriculture is brimming with exciting possibilities, promising to revolutionize farming practices and optimize food production for a sustainable future. 

Here are some key trends shaping the landscape:

1. Advanced Sensing and Data Collection:

  • Hyperlocal data: Beyond traditional sensors, hyperspectral imaging, drones, and AI-powered robots will gather real-time data on individual plants and soil microclimates.
  • Biometric sensors: Plant wearables and in-field biosensors will monitor plant health, stress levels, and nutrient uptake for even more precise interventions.
  • Advanced weather forecasting: AI-driven hyperlocal weather models will provide granular predictions for individual fields, enabling proactive adjustments to irrigation and pest control.

2. Enhanced Data Analysis and Integration:

  • AI and Machine Learning: Advanced algorithms will analyze massive datasets from diverse sources, generating comprehensive insights and predictive models for optimizing yield, resource use, and risk management.
  • Edge computing: Processing data at the field level will enable real-time decision making and faster responses to changes in the environment or crop health.
  • Digital twins: Virtual replicas of farms will simulate different scenarios and test management strategies to optimize results before implementation.

3. Automation and Robotics:

  • Agricultural robots: Autonomous robots will perform tasks like weeding, planting, and harvesting, reducing labor costs and improving precision.
  • Automated machinery: Smart tractors and equipment will adjust themselves based on data from sensors and AI recommendations, optimizing inputs and minimizing waste.
  • Integrated field management systems: Robotic platforms will seamlessly integrate data collection, analysis, and automation for intelligent farm management.

4. Focus on Sustainability and Environmental Impact:

  • Precision conservation: Data-driven insights will guide targeted fertilizer and pesticide application, minimizing environmental pollution and runoff.
  • Sustainable water management: Precision irrigation and soil moisture monitoring will optimize water use, conserving precious resources and promoting ecosystem heal Ca5 th.
  • Carbon sequestration: Precision agriculture practices will contribute to capturing carbon in soil, mitigating climate change and improving soil fertility.

5. Democratization of Technology and Knowledge Sharing:

  • Open-source platforms and tools: Affordable and accessible technology will empower smaller farms and developing countries to adopt precision agriculture practices.
  • Collaborative data sharing: Farmers will share data and best practices through online platforms, accelerating knowledge transfer and innovation.
  • Educational initiatives: Training programs and digital resources will equip farmers with the skills and knowledge needed to leverage precision agriculture effectively.

Challenges and Considerations:

  • Investment costs: Advanced technology and infrastructure require significant initial investment, which can be a hurdle for some farmers.
  • Data privacy and security: Protecting sensitive farm data requires robust cybersecurity measures and ethical data handling practices.
  • Digital divide: Bridging the gap in access to technology and training is crucial for equitable adoption and benefits across the agricultural sector.

The future of precision agriculture holds immense potential for increasing food production, optimizing resource use, and promoting environmental sustainability. By addressing the challenges and fostering collaboration, we can ensure that this transformative technology benefits all stakeholders in the agricultural landscape.

Precision agriculture

Conclusion of key components of Precision Agriculture

Precision agriculture is a transformative approach to farming that uses data, technology, and targeted interventions to optimize food production and resource use

The key components that make up this powerful system include:

  1. Data collection: Gathering rich data from various sources like sensors, drones, satellite imagery, and farm records provides the foundation for informed decision-making.
  2. Data analysis: Employing advanced tools like machine learning and statistical modeling helps extract valuable insights from data, identifying patterns, predicting outcomes, and optimizing inputs and management practices.
  3. Variable-rate application: Tailoring the application of fertilizers, pesticides, irrigation water, and other inputs based on specific field zones and plant needs maximizes efficiency and minimizes waste.
  4. Automation and robotics: Utilizing robots and AI-powered machinery for tasks like planting, weeding, and harvesting enhances precision and reduces labor costs.
  5. Decision support systems: Integrating data analysis, modeling, and user interfaces into user-friendly platforms empowers farmers to make informed choices based on real-time data and predictive insights.
  6. Focus on sustainability: Employing precision agriculture practices like targeted application, resource optimization, and data-driven conservation contributes to environmental sustainability and reduced impact on ecosystems.
  7. Knowledge sharing and education: Disseminating knowledge and best practices through open-source platforms, collaboration networks, and training programs promotes broader adoption and benefits across the agricultural sector.

The future of precision agriculture is brimming with possibilities, with advancements in sensing, data analysis, automation, and sustainability promising to revolutionize farming practices and ensure food security for a growing population.

By addressing the challenges of access, affordability, and ethical data handling, we can harness the power of precision agriculture to create a more efficient, productive, and sustainable agricultural future for all.

https://www.exaputra.com/2024/01/key-components-of-precision-agriculture.html

Renewable Energy

Trump’s Destruction of Renewable Energy Benefits His Support Base, and That’s All that Matters

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The death sentence that Trump has imposed on renewable energy in America is good for two groups: a) Big Oil and b) the MAGA crowd that rejects science and wants nothing more than to own the libs, aka “libtards.”

The unforeseen problem for the common American is that solar and wind are by far the least expensive sources of energy, so that the ratepayers in the U.S. are soon going to be shucking out huge amounts of extra cash each month.

Of course, this doesn’t account for the increases in the effects of climate change that, though they are devastating our planet, won’t be affecting the folks in Oklahoma too badly for the next few years while Trump does his best to profit by turning our Earth into a wasteland.

Trump’s Destruction of Renewable Energy Benefits His Support Base, and That’s All that Matters

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Renewable Energy

WOMA 2026 Recap Live from Melbourne

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Weather Guard Lightning Tech

WOMA 2026 Recap Live from Melbourne

Allen, Rosemary, and Yolanda, joined by Morten Handberg from Wind Power LAB, recap WOMA 2026 live from Melbourne. The crew discusses leading edge erosion challenges unique to Australia, the frustration operators face getting data from full service agreements, and the push for better documentation during project handovers. Plus the birds and bats management debate, why several operators said they’d choose smaller glass fiber blades over bigger carbon fiber ones, and what topics WOMA 2027 should tackle next year.

Sign up now for Uptime Tech News, our weekly newsletter on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on YouTubeLinkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us!

[00:00:00] The Uptime Wind Energy Podcast brought to you by Strike Tape protecting thousands of wind turbines from lightning damage worldwide. Visit strike tape.com and now your hosts. Welcome to the Uptime Winner Energy podcast. I’m your host, Alan Hall. I’m here with Yolanda Pone, Rosemary Barnes, and the Blade Whisperer, Morton Hamburg.

And we’re all in Melbourne at the Pullman on the park. We just finished up Woma 2026. Massive event. Over 200 people, two days, and a ton of knowledge. Rosemary, what did you think? Yeah, I mean it was a, a really good event. It was really nice ’cause we had event organization, um, taken care of by an external company this time.

So that saved us some headaches, I think. Um. But yeah, it was, it was really good. It was different than last year, and I think next year will be different again because yeah, we don’t need to talk about the same topics every single year. But, um, yeah, I got really great [00:01:00] feedback. So that’s shows we’re doing something right?

Yeah, a lot of the, the sessions were based upon feedback from Australian industry and, uh, so we did AI rotating bits, the, the drive train blades. Uh, we had a. Master class on lightning to start off. Uh, a number of discussions about BOP and electrical, BOP. All those were really good. Mm-hmm. Uh, the, the content was there, the expertise was there.

We had worldwide representation. Morton, you, you talked about blades a good bit and what the Danish and Worldwide experience was. You know, talked about the American experience on Blades. That opened up a lot of discussions because I’m never really sure where Australia is in the, uh, operations side, because a lot of it is full service agreements still.

But it does seem like from last year to this year. There’s more onboarding of the technical expertise internally at the operators. Martin, [00:02:00] you saw, uh, a good bit of it. This is your first time mm-hmm. At this conference. What were your impressions of the, the content and the approach, which is a little bit different than any other conference?

I see an industry that really wants to learn, uh, Australia, they really want to learn how to do this. Uh, and they’re willing to listen to us, uh, whether you live in Australia, in the US or in Europe. You know, they want to lean on our experiences, but they wanna, you know, they want to take it out to their wind farms and they ga then gain their own knowledge with it, which I think is really amicable.

You know, something that, you know, we should actually try and think about how we can copy that in Europe and the US. Because they, they are, they’re listening to us and they’re taking in our input, and then they try and go out. They go out and then they, they try and implement it. Um, so I think really that is something, uh, I’ve learned, you know, and, and really, um, yeah, really impressed by, from this conference.

Yeah. Yolanda, you were on several panels over the, the two days. What were your impressions of the conference and what were your thoughts [00:03:00] on the Australia marketplace? I think the conference itself is very refreshing or I think we all feel that way being on the, on the circuit sometimes going on a lot of different conferences.

It was really sweet to see everybody be very collaborative, as Morton was saying. Um, and it was, it was just really great about everybody. Yes, they were really willing to listen to us, but they were also really willing to share with each other, which is nice. Uh, I did hear about a few trials that we’re doing in other places.

From other people, just kind of, everybody wants to learn from each other and everybody wants to, to make sure they’re in as best a spot as they can. Yeah, and the, the, probably the noisiest part of the conferences were at the coffees and the lunch. Uh, the, the collaboration was really good. A lot of noise in the hallways.

Uh, just people getting together and then talking about problems, talking about solutions, trying to connect up with someone they may have seen [00:04:00]somewhere else in the part of the world that they were here. It’s a different kind of conference. And Rosemary, I know when, uh, you came up to with a suggestion like, Hey.

If there’s not gonna be any sales talks, we’re not gonna sit and watch a 30 minute presentation about what you do. We’re gonna talk about solutions. That did play a a different dynamic because. It allowed people to ingest at their own rate and, and not just sit through another presentation. Yeah. It was made it more engaging, I think.

Yeah, and I mean, anyway, the approach that I take for sales for my company that I think works best is not to do the hard sell. It’s to talk about smart things. Um, and if you are talking about describing a problem or a solution that somebody in the audience has that problem or solution, then they’re gonna seek you out afterwards.

And so. There’s plenty of sales happening in an event like this, but you’re just not like, you know, subjecting people to sales. It’s more presenting them with the information that they need. And then I, I think also the size of the conference really [00:05:00] helps ’cause yeah, about 200 people. Any, everybody is here for the same technical kind.

Content. So it’s like if you just randomly start talking to somebody while you’re waiting for a coffee or whatever, you have gonna have heaps to talk about with them, with ev every single other person there. And so I think that that’s why, yeah, there was so much talking happening and you know, we had social events, um, the first two evenings and so.

Mo like I was surprised actually. So many people stayed. Most people, maybe everybody stayed for those events and so just so much talking and yeah, we did try to have quite long breaks, um, and quite a lot of them and, you know, good enough food and coffee to keep people here. And I think that that’s as important as, you know, just sitting and listening.

Well, that was part of the trouble, some of the conference that you and I have been at, it’s just like six hours of sitting down listening to sort of a droning mm-hmm. Presenter trying to sell you something. Here we were. It was back and forth. A lot more panel talk with experts from around the world and then.[00:06:00]

Break because you just can’t absorb all that without having a little bit of a brain rest, some coffee and just trying to get to the next session. I, I think that made it, uh, a, a, a more of a takeaway than I would say a lot of other conferences are, where there’s spender booze, and. Brochures and samples being handed out and all that.

We didn’t have any of that. No vendor booze, no, uh, upfront sales going on and even into the workshop. So there was specific, uh, topics provided by people that. Provide services mostly, uh, speaking about what they do, but more on a case study, uh, side. And Rosie, you and I sat in on one that was about, uh, birds and bats, birds and bats in Australia.

That one was really good. Yeah, that was great. I learned, I learned a lot. Your mind was blown, but Totally. Yeah. It is crazy how much, how much you have to manage, um, bird and wildlife deaths related to wind farms in Australia. Like compared to, I mean, ’cause you see. Dead birds all the time, right? Cars hit [00:07:00] birds, birds hit buildings, power lines kill birds, and no one cares about those birds.

But if a bird is injured near a wind farm, then you know, everybody has to stop. We have to make sure that you can do a positive id. If you’re not sure, send it away for a DNA analysis. Keep the bird in a freezer for a year and make sure that it’s logged by the, you know, appropriate people. It’s, it’s really a lot.

And I mean, on the one hand, like I’m a real bird lover, so I am, I’m glad that birds are being taken seriously, but on the other hand, I. I think that it is maybe a little bit over the top, like I don’t see extra birds being saved because of that level of, of watching throughout the entire life of the wind farm.

It feels more like something for the pre-study and the first couple of years of operation, and then you can chill after that if everything’s under control. But I, I guess it’s quite a political issue because people do. Do worry about, about beds and bats? Mm-hmm. Yeah, I thought the output of that was more technology, a little or a little more technology.

Not a lot of technology in today’s world [00:08:00] because we could definitely monitor for where birds are and where bats are and, uh, you know. Slow down the turbines or whatever we’re gonna do. Yeah. And they are doing that in, in sites where there is a problem. But, um, yeah, the sites we’re talking about with that monitoring, that’s not sites that have a big, big problem at sites that are just Yeah, a few, a few birds dying every year.

Um, yeah. So it’s interesting. And some of the blade issues in Australia, or a little unique, I thought, uh, the leading edge erosion. Being a big one. Uh, I’ve seen a lot of leading edge erosion over the last couple of weeks from Australia. It is Texas Times two in some cases. And, uh, the discussion that was had about leading edge erosion, we had ETT junker from Stack Raft and, and video form all the way from Sweden, uh, talking to us live, which was really nice actually.

Uh, the, the amount of knowledge that the Global Blade group. Brought to the discussion and just [00:09:00] opening up some eyes about what matters in leading edge erosion. It’s not so much the leading edge erosion in terms of a EP, although there is some a EP loss. It’s more about structural damage and if you let the structure go too far.

And Martin, you’ve seen a lot of this, and I think we had a discussion about this on the podcast of, Hey, pay attention to the structural damage. Yeah, that’s where, that’s where your money is. I mean, if you go, if you get into structural damage, then your repair costs and your downtime will multiply. That is just a known fact.

So it’s really about keeping it, uh, coding related because then you can, you can, you can move really fast. You can get it the blade up to speed and you won’t have the same problems. You won’t have to spend so much time rebuilding the blade. So that’s really what you need to get to. I do think that one of the things that might stand out in Australia that we’re going to learn about.

Is the effect of hail, because we talked a lot about it in Europe, that, you know, what is the effect of, of hail on leading edge erosion? We’ve never really been able to nail it down, but down here I heard from an, [00:10:00] from an operator that they, they, uh, referenced mangoes this year in terms of hail size. It was, it was, it was incredible.

So if you think about that hitting a leading edge, then, uh, well maybe we don’t really need to, we don’t really get to the point where, so coding related, maybe we will be structural from the beginning, but. Then at least it can be less a structural. Um, but that also means that we need to think differently in terms of leading edge, uh, protection and what kinds of solutions that are there.

Maybe some of the traditional ones we have in Europe, maybe they just don’t work, want, they, they won’t work in some part of Australia. Australia is so big, so we can’t just say. Northern Territory is the same as as, uh, uh, um, yeah. Victoria or uh, or Queensland. Or Queensland or West Australia. I think that what we’re probably going to learn is that there will be different solutions fitting different parts of Australia, and that will be one of the key challenges.

Um, yeah. And Blades in Australia sometimes do. Arrive without leading edge protection from the OEMs. [00:11:00] Yeah, I’m sure some of the sites that I’ve been reviewing recently that the, the asset manager swears it’s got leading edge protection and even I saw some blades on the ground and. I don’t, I don’t see any leading edge protection.

I can’t feel any leading edge protection. Like maybe it’s a magical one that’s, you know, invisible and, um, yeah, it doesn’t even feel different, but I suspect that some people are getting blades that should have been protected that aren’t. Um, so why? Yeah, it’s interesting. I think before we, we rule it out.

Then there are some coatings that really look like the original coating. Mm. So we, we, I know that for some of the European base that what they come out of a factory, you can’t really see the difference, but they’re multilayer coating, uh, on the blades. What you can do is that you can check your, uh, your rotor certificate sometimes will be there.

You can check your, uh, your blade sheet, uh, that you get from manufacturer. If you get it. Um, if you get it, then it will, it will be there. But, um, yeah, I, I mean, it can be difficult to say, to see from the outset and there’s no [00:12:00]documentation then. Yeah, I mean. If I can’t see any leading edge erosion protection, and I don’t know if it’s there or not, I don’t think I will go so far and then start installing something on something that is essentially a new blade.

I would probably still put it into operation because most LEP products that can be installed up tower. So I don’t think that that necessarily is, is something we should, shouldn’t still start doing just because we suspect there isn’t the LEP. But one thing that I think is gonna be really good is, um, you know, after the sessions and you know, I’ve been talking a lot.

With my clients about, um, leading edge erosion. People are now aware that it’s coming. I think the most important thing is to plan for it. It’s not right to get to the point where you’ve got half a dozen blades with, you know, just the full leading edge, just fully missing holes through your laminate, and then your rest of your blades have all got laminate damage.

That’s not the time to start thinking about it because one, it’s a lot more expensive for each repair than it would’ve been, but also. No one’s got the budget to, to get through all of that in one season. So I do really [00:13:00] like that, you know, some of the sites that have been operating for five years or so are starting to see pitting.

They can start to plan that into their budget now and have a strategy for how they’re going to approach it. Um, yeah. And hopefully avoid getting over to the point where they’ve missing just the full leading edge of some of their blades. Yeah. But to Morton’s earlier point, I think it’s also important for people to stop the damage once it happens too.

If, if it’s something that. You get a site or for what, whatever reason, half of your site does look like terrible and there’s holes in the blade and stuff. You need to, you need to patch it up in some sort of way and not just wait for the perfect product to come along to, to help you with that. Some of the hot topics this week were the handover.

From, uh, development into production and the lack of documentation during the transfer. Uh, the discussion from Tilt was that you need to make sure it is all there, uh, because once you sign off. You probably can’t go back and get it. And [00:14:00] some of the frustration around that and the, the amount of data flow from the full service provider to the operator seemed to be a, a really hot topic.

And, and, uh, we did a little, uh, surveyed a about that. Just the amount of, um, I don’t know how to describe it. I mean, it was bordering on anger maybe is a way. Describe it. Uh, that they feel that operators feel like they don’t have enough insight to run the turbines and the operations as well as they can, and that they should have more insight into what they have operating and why it is not operat.

A certain way or where did the blades come from? Are there issues with those blades? Just the transparency WA was lacking. And we had Dan Meyer, who is from the States, he’s from Colorado, he was an xge person talking about contracts, uh, the turbine supply agreement and what should be in there, the full service [00:15:00] agreement, what should be in there.

Those are very interesting. I thought a lot of, uh, operators are very attentive to that, just to give themselves an advantage of what you can. Put on paper to help yourself out and what you should think about. And if you have a existing wind farm from a certain OEM and you’re gonna buy another wind farm from ’em, you ought to be taking the lessons learned.

And I, I thought that was a, a very important discussion. The second one was on repairs. And what you see from the field, and I know Yolanda’s been looking at a lot of repairs. Well, all of you have been looking at repairs in Australia. What’s your feeling on sort of the repairs and the quality of repairs and the amount of data that comes along with it?

Are we at a place that we should be, or do we need a little more detail as to what’s happening out there? It’s one of the big challenges with the full service agreements is that, you know, if everything’s running smoothly, then repairs are getting done, but the information isn’t. Usually getting passed on.

And so it’s seems fine and it seems like really good actually. Probably if you’re an [00:16:00] asset manager and everything’s just being repaired without you ever knowing about it, perfect. But then at some point when something does happen, you’ve got no history and especially like even before handover. You need to know all of the repairs that have happened for, you know, for or exchanges for any components because you know, you’re worried about, um, serial defects, for example.

You need every single one. ’cause the threshold is quite high to, you know, ever reach a serial defect. So you wanna know if there were five before there was a handover. Include that in your population. Um, yeah, so that’s probably the biggest problem with repairs is that they’re just not being. Um, the reports aren’t being handed over.

You know, one of the things that Jeremy Hanks from C-I-C-N-D-T, and he’s an NDT expert and has, has seen about everything was saying, is that you really need to understand what’s happening deep inside the blade, particularly for inserts or, uh, at the root, uh, even up in, with some, some Cory interactions happening or splicing that It’s hard to [00:17:00] see that hard to just take a drone inspection and go, okay, I know what’s happening.

You need a little more technology in there at times, especially if you have a serial defect. Why do you have a serial defect? Do you need to be, uh, uh, scanning the, the blade a little more deeply, which hasn’t really happened too much in Australia, and I think there’s some issues I’ve seen where it may come into use.

Yeah, I think it, it, it’ll be coming soon. I know some people are bringing stuff in. I’ve got emails sitting in my inbox I need to chase up, but I’m, I’m really going to, to get more into that. Yeah. And John Zalar brought up a very similar, uh, note during his presentation. Go visit your turbines. Yeah, several people said that.

Um, actually Liz said that too. Love it. And, um, let’s this, yeah, you just gotta go have a look. Oh, Barend, I think said bar said it too. Go on site. Have a look at the lunchroom. If the lunch room’s tidy, then you know, win turbine’s gonna be tidy too. And I don’t know about that ’cause I’ve seen some tidy lunchroom that were associated with some, you know, uh, less well performing assets, but it’s, you know, it’s [00:18:00] a good start.

What are we gonna hope for in 2027? What should we. Be talking about it. What do you think we’ll be talking about a year from now? Well, a few people, quite a few people mentioned to me that they were here, they’re new in the industry, and they heard this was the event to go to. Um, and so I, I was always asking them was it okay?

’cause we pitch it quite technical and I definitely don’t wanna reduce. How technical it is. One thing I thought of was maybe we start with a two to five minute introduction, maybe prerecorded about the, the topic, just to know, like for example, um, we had some sessions on rotating equipment. Um, I’m a Blades person.

I don’t know that much about rotating equipment, so maybe, you know, we just explain this is where the pitch bearings are. They do this and you know, there’s the main bearing and it, you know, it does this and just a few minutes like that to orient people. Think that could be good. Last, uh, this year we did a, a masterclass on lightning, a half day masterclass.

Maybe we change that topic every year. Maybe next year it’s blade design, [00:19:00] certification, manufacturing. Um, and then, you know, the next year, whatever, open to suggestions. I mean, in general, we’re open to suggestions, right? Like people write in and, and tell us what you’d wanna see. Um, absolutely. I think we could focus more on technologies might be an, an area like.

It’s a bit, it’s a bit hard ’cause it gets salesy, but Yeah. I think one thing that could actually be interesting and that, uh, there was one guy came up with an older turbine on the LPS system. Mm. Where he wanted to look for a solution and some of the wind farms are getting older and it’s older technology.

So maybe having some, uh, uh, some sessions on that. Because the older turbines, they are vastly different from what we, what we see in the majority with wind farms today. But the maintenance of those are just as important. And if you do that correctly, they’re much easier to lifetime extent than it will likely be for some of the nuance.

But, you know, let. Knock on wood. Um, but, but I think that’s something that could be really interesting and really relevant for the industry and something [00:20:00] that we don’t talk enough about. Yeah. Yeah, that’s true because I, I’m working on a lot of old wind turbines now, and that has been, um, quite a challenge for me because they’re design and built in a way that’s quite different to when, you know, I was poking, designing and building, uh, wind turbine components.

So that’s a good one. Other people mentioned end of life. Mm-hmm. Not just like end of life, like the life is over, but how do you decide when the life end of life is going to be? ’cause you know, like you have a planned life and then you might like to extend, but then you discover you’ve got a serial issue.

Are you gonna fix it? Or you know, how are you gonna fix it? Those are all very interesting questions that, um, can occur. And then also, yeah, what to do with the. The stuff at the end of the Wind Farm lifetime, we could make a half day around those kinds of sessions. I think recycling could actually be good to, to also touch upon and, and I think, yeah, Australia is more on the front of that because of, of your high focus on, on nature and sustainability.

So looking at, well, what do we do with these blades? Or what do we do with the towers of foundation once, uh, [00:21:00] once we do need to decommission them, you know, what is, what are we going to do in Australia about that? Or what is Australia going to do about that? But, you know, what can we bring to the, to the table that that can help drive that discussion?

I think maybe too, helping people sort of templates for their formats on, on how to successfully shadow, monitor, maybe showing them a bit mute, more of, uh. Like cases and stuff, so to get them going a bit more. ’cause we heard a lot of people too say, oh, we’re, we’re teetering on whether we should self operate or whether we continue our FSA, but we, we we’re kind of, we don’t know what we’re doing.

Yeah. In, in not those words. Right. But just providing a bit more of a guidance too. On that side, we say shadow monitoring and I think we all know what it means. If you’ve seen it done, if you haven’t seen it done before. It seems daunting. Mm-hmm. What do you mean shadow monitoring? You mean you got a crack into the SCADA system?

Does that mean I’ve gotta, uh, put CMS out there? Do I do, do I have to be out [00:22:00] on site all the time? The answer that is no to all of those. But there are some fundamental things you do need to do to get to the shadow monitoring that feels good. And the easy one is if there’s drone inspections happening because your FSA, you find out who’s doing the drone inspections and you pay ’em for a second set of drone inspections, just so you have a validation of it, you can see it.

Those are really inexpensive ways to shadow monitor. Uh, but I, I do think we say a lot of terms like that in Australia because we’ve seen it done elsewhere that. Doesn’t really translate. And I, if I, I’m always kind of looking at Rosemary, like, does it, this make sense? What I’m saying makes sense, Rosemary, because it’s hard to tell because so many operators are in sort of a building mode.

I, I see it as. When I talked to them a few years ago, they’re completely FSA, they had really small staffs. Now the staffs are growing much larger, which makes me feel like they’re gonna transition out an FSA. Do we need to provide a little more, uh, insight into how that is done deeper. [00:23:00] Like, these are the tools you, you will need.

This is the kind of people you need to have on staff. This is how you’re gonna organize it, and this is the re these are the resources that you should go after. Mm. Does that make a little si more sense? Yeah. That might be a good. Uh, idea for getting somebody who’s, you know, working for a company that is shadow monitoring overseas and bring them in and they can talk through what that, what that means exactly.

And that goes back to the discussion we were having earlier today by having operators talk about how they’re running their operations. Mm. And I know the last year we tried to have everybody do that and, and they were standoffish. I get it. Because you don’t want to disclose things that your company doesn’t want out in public.

And year two, it felt like there’s a little more. Openness about that. Yeah, there was a few people were quite open about, um, yeah, talking about challenges and some successes as well. I think we’ll have more successes next year ’cause we’ve got more, more things going on. But yeah, definitely would encourage any operators to think about what’s a you A case study that you could give about?

Yeah, it could just be a problem that’s unsolved and I bet you’ll find people that wanna help you [00:24:00] solve that problem. Or it could be something that you struggled with and then you’re doing a better job and Yeah, I mean the. Some operators think that they’re in competition with each other and some think that they’re not really, and the answer is somewhere, somewhere in the middle.

There are, you know, some at least small amounts of competition. But, you know, I just, I just really think that. We’re fighting against each other, trying to win within the wind industry. Then, you know, in 10, 20 years time, especially in Australia, there won’t be any new wind. It’ll just be wind and solar everywhere and, and the energy transition stalled because everyone knows that’s not gonna get us all the way to, you know, a hundred percent renewables.

So, um, I do think that we need to, first of all, fight for wind energy to improve. The status quo is not good enough to take us through the next 20 years. So we do need to collaborate to get better. And then, yeah, I don’t know, once we’re, once we’re one, wind has won, then we can go back to fighting amongst ourselves, I guess.

Is Australia that [00:25:00] laboratory? Yeah, I think I, I say it all the time. I think Australia is the perfect place because I, I do think we’re a little bit more naturally collaborative. For some reason, I don’t know why, it’s not really like a, a cultural thing, but seems to be the case in Australian wind. Um, and also our, our problems are harder than, uh, than what’s being faced elsewhere.

I mean, America has some specific problems right now that are, you know, worse, but in general, operating environment is very harsh Here. We’re so spread out. Everything is so expensive. Cranes are so expensive. Repairs are so expensive. Spares spare. Yeah, spares are crazy expensive. You know, I look every now and then and do reports for people about, you know, what, what’s the average cost for and times for repairs and you know, you get an American values and it’s like, okay, well at a minimum times by five Australia and you know, so.

It, there’s a lot more bang for buck. And the other thing is we just do not have enough, um, enough people, enough. Uh, we’ve got some really smart people. We need a lot more [00:26:00] people that are as smart as that. And you can’t just get that immediately. Like there has been a lot of good transfer over from related industries.

A lot of people that spoke so that, you know, they used to work for thermal power plants and, um, railway, a guy that spoke to a guy had come in from railway. Um. That’s, that’s really good. But it will take some years to get them up to speed. And so in the meantime, we just need to use technology as much as we can to be able to, you know, make the people that good people that we do have, you know, make them go a lot further, um, increase what they can do.

’cause yeah, I don’t think there’s a single, um, asset owner where they couldn’t, you know, double the number of asset managers they had and, you know, ev everyone could use twice as many I think. Yeah, I agree. Yeah. I think something that we really focused on this year is kind of removing the stones that are in people’s path or like helping at least like to, to say like, don’t trip over there.

Don’t trip over here. And I think part of that, like, like you mentioned, is that. [00:27:00] The, the collaborative manner that everyone seemed to have and just, I think 50% of our time that we were in those rooms was just people asking questions to experts, to anybody they really wanted to. Um, and it, it just, everybody getting the same answers, which is really just a really different way to, to do things, I think.

But more than, I mean, we, we we’re still. We’re still struggling with quality in Australia. That’s still a major issue on, on a lot of the components. So until we have that solved, we don’t really know how much of an influence the other factors they really have because it just overshadows everything. And yes, it will be accelerated by extreme weather conditions, but.

What will, how will it work if, if the components are actually fit, uh, fit for purpose in the sense that we don’t have wrinkles in the laminates, that we don’t have, uh, bond lines that are detaching. Mm-hmm. Maybe some of it is because of, uh, mango size hails hitting the blades. Maybe it’s because of extreme temperatures.

Maybe it’s [00:28:00] because of, uh, uh, yeah. At extreme topography, you know, creating, uh, wind conditions that the blades are not designed for. We don’t really know that. We don’t really know for sure. Uh, we just assume, um, Australia has some problems with, not problems, but some challenges with remoteness. We don’t, with, uh, with getting new, new spares that much is absolutely true.

We can’t do anything about that. We just have to, uh, find a way to, to mitigate that. Mm-hmm. But I think we should really be focused on getting quality, uh, getting the quality in, in order. You know, one thing that’s interesting about that, um, so yeah, Australia should be focused more on quality than anybody else, but in, in, in the industry, yeah.

Uh, entire world should be more focused on quality, but also Australia. Yeah. But Australia, probably more than anyone considering how hard it is to, you know, make up for poor quality here. Um. At the same time, Australia for some reason, loves to be the first one with a new technology, loves to have the biggest [00:29:00] turbine.

Um, and the, the latest thing and the newest thing, and I thought it was interesting. I mean, this was operations and maintenance, um, conference, so not really talking about new designs and manufacturing too much, but at least three or four people said, uh. Uh, I would be using less carbon fiber in blades. I would not be, not be going bigger and bigger and bigger.

If I was buying turbines for a new wind farm, I would have, you know, small glass blades and just more of them. So I think that that was really interesting to hear. So many people say it, and I wasn’t even one of them, even though, you know, I would definitely. Say that. I mean, you know, in terms of business, I guess it’s really good to get a lot of, a lot of big blades, but, um, because they just, people, I don’t think people understand that, that bigger blades just have dramatically more quality problems than the smaller ones.

Um, were really kind of exceeded the sweet spot for the current manufacturing methods and materials. I don’t know if you would agree, but it’s, it’s. Possible, but [00:30:00] it’s, it, you know, it’s not like a blade that’s twice as long, doesn’t have twice as many defects. It probably has a hundred times as many defects.

It’s just, uh, it’s really, really challenging to make those big blades, high quality, and no one is doing it all that well right now. I would, however, I got an interesting hypothetical and they’re. Congrats to her for, for putting out that out. But there was an operator that said to me at the conference, so what would you choose hypothetically?

A 70 meter glass fiber blade or a 50 meter carbon fiber blade, so a blade with carbon fiber reinforcement. And I did have to think quite a while about it because there was, it was she say, longer blades, more problems, but carbon blade. Also a lot of new problems. So, so what is it? So I, I ended up saying, well, glass fiber, I would probably go for a longer glass fiber blade, even though it will have some, some different challenges.

It’s easier to repair. Yeah, that’s true. So we can overcome some of the challenges that are, we can also repair carbon. We have done it in air, air, uh, aeronautics for many, many years. But wind is a different beast because we don’t have, uh, [00:31:00] perfect laboratory conditions to repair in. So that would just be a, a really extreme challenge.

So that’s, that’s why I, I would have gone for carbon if, for glass fiber, if, if I, if I could in that hypothe hypothetical. Also makes more energy, the 70 meter compared to it’s a win-win situation.

Well, it’s great to see all of you. Australia. I thought it was a really good conference. And thanks to all our sponsors, uh, til being the primary sponsor for this conference. Uh, we are starting to ramp up for 2027. Hopefully all of you can attend next year. And, uh, Rosie, it’s good to see you in person. Oh, it’s, uh, it’s, it’s exciting when we are actually on the same continent.

Uh, it doesn’t happen very often. And Morton, it’s great to see you too, Yolanda. I see you every day pretty much. So she’s part of our team, so I, it’s great to see you out. This is actually the first time, me and Rosie, we have seen each other. We’ve, we’ve known each other for years. Yeah. Yeah. The first time we actually, uh, been, been, yeah.

Within, uh, yeah. [00:32:00] Same room. Yep. And same continent. Yeah. Yeah. So that’s been awesome. And also it’s my first time meeting Yolanda in person too. So yeah, that’s our first time. And same. So thanks so much for everybody that attended, uh, woma 2026. We’ll see you at Woma 2027 and uh, check us out next week for the Uptime Wind Energy Podcast.

WOMA 2026 Recap Live from Melbourne

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Renewable Energy

What Can Stop Climate Change?

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I looked through a few of the many thousands of responses to the question above on social media and have concluded:

If you ask uneducated people who know essentially nothing about global warming, you’ll find that nothing can stop it, because it’s been going on since the origin of the planet. Others say that God controls the planet’s temperature.

If you ask climate scientists who work in laboratories around the globe who have been studying this subject for decades, you’ll find that there are two key answers: a) decarbonization of our transportation and energy sectors and b) halting the destruction of our rain forests.

As always, we have a choice to make: ignorance or science.

What Can Stop Climate Change?

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