Online satellite-based #PrecisionAgriculture platform for field monitoring created by @eos_da - a global provider of AI-powered #SatelliteImagery analytics
Take a quick look on what EOS Data Analytics offers to agribusiness. Our digital agro-platform helps farmers around the world cut costs, save resources, and increase benefits! @CropMonitoring
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Field Activity Log helps you stay organized across the season, improve coordination, and manage operations with more confidence and control.
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Each activity can be recorded in detail β including dates, materials, costs, notes, and assigned team members.
All operations stay linked to specific fields in one clear timeline, making it easier to track execution across the season and plan future work more accurately.
Field Activity Log brings all your operations into one structured workflow.
Track activities across fields, monitor execution, compare planned vs completed work, and keep your team aligned in one place.
Instead of reacting to damage, you act before it happens.
With short-term risk forecasts, you can plan field operations more precisely.
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Diseases and pests donβt appear suddenly β they develop under specific conditions.
Crop Monitoring analyzes weather, crop stage, and field data together to show real risk levels directly on your fields.
VRA maps integrate directly into your workflow β so equipment applies the right rate in each zone automatically.
As a result, inputs are applied more precisely, costs are reduced, and field variability is better controlled.
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VRA maps let you manage each zone with precision.
Seeding, fertilization, soil sampling β all based on real field variability.
Combine vegetation indices, moisture, and historical data to see the full picture.
Field variability affects every decision you make.
VRA maps in Crop Monitoring turn that variability into action. Each zone is managed based on real data β from seeding to fertilization, inputs are applied where they matter most.
More in the next posts.
Weather Analytics turns data into decisions.
With @CropMonitoring , you get early anomaly detection, better timing for field operations, and more confident, data-driven decisions.
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By analyzing trends and comparing the current season with historical data, you can spot anomalies early, understand deviations from normal conditions, and identify possible causes of plant stress.
Meeting with our partner Volodymyr Ilchenko, PhD, Nor-East Agro, in Kyiv. Volodymyr shared how their team uses Crop Monitoring to analyze field conditions, identify problem areas, and plan field visits more efficiently β turning data into real decisions.
At the Kosmozlit conference in Kyiv, Regina Urazmanova, Product Manager of Crop Monitoring, shared how satellite data is changing modern farming.
From early crop stress detection to data-driven decisions β farming is shifting from reaction to prediction.
NDMI focuses on moisture β one of the key drivers of crop performance. It shows how water is distributed across the field and where stress starts to develop.
Understand whatβs happening in your fields at every stage of the season.
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MSAVI is built for the early stages. When vegetation is still low and soil affects the signal. It helps reveal variability right from the start.
RECI goes deeper β focusing on chlorophyll content and plant vitality.
NDVI shows the overall condition of your crops. It highlights variability across the field - where something is already off. But when vegetation becomes dense, NDVI starts losing detail.
Thatβs where NDRE comes in.More sensitive to chlorophyll, more precise in mid-to-late stages
From vegetation to moisture, each index reveals a different layer of field conditions. Individually β separate signals. Together β a clearer picture.
@CropMonitoring combines them into one system.
More on each index in the next posts.