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The use of UAV monitoring in agriculture
allows for significant improvements in the following key areas: Imagery (Monitoring using images): UAVs create detailed maps of fields, including topography, crop distribution, and vegetation indices (e.g., NDVI). This simplifies scouting and allows prioritization of areas that need attention. Farmers can use this data to monitor field conditions throughout the season and make timely decisions on plant protection and agricultural activities.
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Early problem detection:
Multispectral cameras and sensors on drones allow for the timely detection of diseases, pests, and weeds. This helps minimize crop losses and prevent large-scale problems. However, it is important to note that some issues may be detected late when visible signs become noticeable on UAV images. This does not always allow for timely action but remains useful for managing the situation.
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Yield prediction and soil condition monitoring:
Data collected using UAVs helps predict yields and assess plant conditions in real-time. This improves harvest planning and resource management. However, soil condition monitoring using UAVs is limited and requires combination with other analysis methods.
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Optimization of agricultural activities:
Analyzing the effectiveness of fertilizer application, pesticides, and other agricultural operations using UAVs allows for adjustments to increase productivity. This helps minimize costs and improve results.
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History and sustainability:
Retrospective data analysis allows for the assessment of field management effectiveness over several years and visually demonstrates the sustainability of applied technologies. This is important for long-term planning and demonstrating results to stakeholders.
Drone's and Robotics in agriculture.
Crop spraying
Drones can spray fertilizers, pesticides, herbicides, and seeds on crops with precision and efficiency, reducing waste and environmental impact. They can also cover more land in less time than traditional methods.
Crop monitoring
Drones can collect data on crop health, growth stages, soil quality, and pest infestation using various sensors and cameras. They can also generate maps and images that can help farmers identify problems and optimize crop management.
Livestock management
Drones can monitor and track livestock, such as cattle, sheep, and pigs, using thermal and infrared cameras. They can also help with herd counting, grazing patterns, and animal health.
Land surveying
Drones can survey and map large areas of land, such as fields, orchards, and vineyards, using high-resolution cameras and GPS. They can also help with land planning, irrigation, drainage, and crop rotation.
Precision agriculture
Drones can help farmers implement precision agriculture, which is a data-driven approach that aims to optimize crop yields and quality, while minimizing inputs and environmental impact. Drones can collect and analyze data on various factors, such as soil moisture, nutrient levels, plant stress, and weather conditions, and provide recommendations for site-specific interventions, such as variable-rate irrigation, fertilization, and pest control.
Agroforestry
Drones can help farmers and environmentalists with agroforestry, which is a land use system that integrates trees, crops, and livestock on the same land. Agroforestry can provide multiple benefits, such as enhancing biodiversity, soil health, carbon sequestration, and food security. Drones can help with planting, monitoring, and managing trees, as well as assessing the ecosystem services and economic value of agroforestry systems.
Crop insurance
Drones can help farmers and insurers with crop insurance, which is a risk management tool that protects farmers from losses due to natural disasters, pests, diseases, and market fluctuations. Drones can provide accurate and timely data on crop damage, yield estimates, and claim verification, and reduce the need for costly and time-consuming field visits.
Reduce cost
Farmers are struggling to cope with the gap between the low prices they receive for their products and the high costs they incur for inputs, such as energy, fertilizers, transport, and taxes. This reduces their income and margins, and makes them vulnerable to market fluctuations and external shocks.
Environmental and climate challenges
Farmers are under pressure to reduce their environmental impact and adapt to the effects of climate change, such as droughts, floods, pests, and diseases. They have to comply with strict regulations and standards on emissions, water quality, biodiversity, and animal welfare, which often entail additional costs and investments. We will provide you data and solutions base on world wide experience.
Autonomous Tractors and Drones
Increase efficiency and precision with self-driving tractors that can operate 24/7.
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Scouting
Scouting is the process of systematic observation and monitoring of agricultural land to identify problems such as plant diseases, pests, weeds, and other factors affecting yield. The foundation of scouting is the regular inspection of fields and data collection, which helps farmers and agronomists make informed decisions about field management.
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NDVI
(Normalized Difference Vegetation Index)
is a normalized difference vegetation index used to assess the condition of vegetation based on the analysis of satellite or aerial images, including data obtained from drones (UAVs). NDVI helps measure the density and health of vegetation, making it an important tool in agriculture for field monitoring.
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NDVI values range from -1 to +1:
Values closer to +1 indicate dense and healthy vegetation.
Values closer to 0 indicate low vegetation or stubble.
Negative values (-1 to 0) indicate the presence of water, snow, clouds, or other non-vegetative objects.
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