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AgroAI™ — Intelligence Grown in the Field

 
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Multispectral Drones and NDVI Analysis for Innovative Agriculture
AgroAI™ is an intelligent platform that uses multispectral drones to analyze the condition of crops, soil, and irrigation. Thanks to advanced sensors and NDVI analysis, we implement innovative farming methods that help reduce costs, increase yields, and maintain the natural balance.
How AgroAI™ Impacts Yields and Crop Development
  • Family Farms and Small Orchards
    • Early detection of stress (lack of moisture, diseases, nutrient deficiency) allows the agronomist to take action before the damage becomes critical.
    • NDVI, NDRE, GNDVI, and other indices provide an accurate picture of vegetation, helping to manage growth phases.
    • Targeted application of fertilizers and crop protection products increases their efficiency, promoting the growth of healthy plants.
  • Medium and Large-Scale Orchard Enterprises
    • Resource savings: treating only the necessary areas reduces the use of chemicals and water.
    • Optimized irrigation: eliminating drought stress and water overspending reduces irrigation costs.
    • Reduced mechanical field trips thanks to targeted operations.
  • Improved Crop Quality
    • Uniform nutrition and water supply help equalize plant growth and produce a more homogeneous harvest.
    • Reduced diseases and stress directly affect appearance and marketability.
  • Research and Demonstration Sites
    • Reducing chemical load protects beneficial microflora and prevents pesticide accumulation.
    • Optimized irrigation and fertilization decrease soil depletion and the risk of degradation.
  • Forecasting and Planning
    • Yield forecasts based on AgroAI™ data help agricultural enterprises plan logistics, sales, and storage.
    • Dynamic field monitoring reveals long-term trends and allows agronomic practices to be adjusted.
Our AAgroAI™ Capabilities in the Fielddvantages
Our agricultural drones are equipped with professional multispectral sensors that capture reflected sunlight in five key bands:
Blue (~475 nm)
used to assess chlorophyll content and detect early signs of disease.
Green (~560 nm)
shows photosynthetic activity and overall biomass condition.
Red (~668 nm)
sensitive to pigment content and stress during active growth phases.
Red Edge (~717 nm)
a key indicator for early detection of changes in chlorophyll before visual symptoms appear.
Near Infrared (NIR, ~840 nm)
reflects the condition of plant cell structure and helps assess biomass and stand density.
What We Do with This Data
  • Crop Stress Detection
    • Early diagnosis of nutrient deficiencies, drought, or diseases before visual symptoms appear.
    • Creation of zonal condition maps for targeted work on problem areas.
  • Irrigation Diagnostics
    • Detection of dry zones, leaks, and uneven water distribution.
    • Recommendations for adjusting drip and sprinkler systems.
  • Vegetation Index Creation
    • NDVI — plant health index.
    • GNDVI — nitrogen content assessment.
    • SAVI — vegetation cover assessment minimizing soil influence.
    • NDRE — detection of changes in chlorophyll.
    • EVI — enhanced vegetation index for dense crops.
  • Biomass Assessment and Yield Forecasting
    • Calculation of plant density and development by growth phase.
    • Yield modeling based on historical and current data.
  • Precise Agronomic Recommendations
    • Prescription maps for fertilizer and crop protection product application only where needed.
    • Cost optimization and reduction of chemical load on the soil.
Workflow: From Drone to Agronomist
  • Multispectral Drone Imaging
    • Flight along a pre-planned route considering altitude, overlap, and speed.
    • GPS/RTK — centimeter-level georeferencing accuracy.
    • Synchronization with IMU to account for drone position in space.
    • Image recording on an SD card in RAW or TIFF formats to preserve spectral data.
  • Data Processing
    • Uploading images to specialized software (Pix4Dfields, Agisoft Metashape, DJI Terra, etc.).
    • Radiometric calibration using a light reflectance panel.
    • Creation of orthophotos and vegetation indices.
    • Automatic stress zone analysis using AgroAI™.
  • Result Delivery
    • Full set of analytical maps (NDVI, NDRE, stress maps, moisture maps).
    • Visualization of yield by field zones.
    • AgroAI™ digital agronomist recommendations in the form of a report and prescription maps for machinery (SHP, ISOXML).
What the Client Receives from AgroAI™
  • Complete Analytical Data Package
    • NDVI, NDRE, GNDVI, SAVI, EVI, and other vegetation maps.
    • Orthophotos with centimeter accuracy.
    • Zonal maps of plant stress, moisture zones, and crop density.
  • Forecast and Planning
    • Yield forecast based on crop condition.
    • Data for logistics, harvesting, and storage planning.
  • Machinery Task Maps
    • Files in SHP, ISOXML, and other formats compatible with variable rate application systems.
    • Instructions for tractors, sprayers, and spraying drones.
  • Digital Field Archive
    • Monitoring history with the ability to compare data for different seasons.
    • Tracking the effectiveness of agronomic practices and investments.
  • Report with Recommendations
    • Analysis of current field condition and growth phase dynamics.
    • Recommendations for fertilization, irrigation, and crop protection application.
    • Priorities for treating problem areas.
  • Ready-to-Use Data
    • Everything formatted so the agronomist or manager can immediately put it into action — no additional preparation required.
Why AgroAI™?
  • Turning Data into Decisions — not just beautiful maps but concrete recommendations and machinery task maps.
  • Full Integration into Precision Agriculture Processes.
  • Early Problem Detection — multispectral imaging and NDVI/NDRE indices allow detection of diseases, nutrient deficiencies, and irrigation issues before visual symptoms appear.
  • Resource Savings — up to 30% savings on fertilizers and crop protection products through targeted application.
  • Yield Increase — targeted work on problem zones and timely agronomy can increase yields by 5–15%.
  • Speed and Automation — full analysis cycle from flight to recommendations within 24 hours.
  • Transparency and Control — data stored in a digital archive.
  • Environmental Responsibility — reduced chemical load on soil and the environment.
  • Support for Sustainable Farming Principles.

Use a multispectral drone — bring innovation to agriculture.
  • Order NDVI analysis, stress maps, and agronomic recommendations — Contact us