Hyperspectral can detect most natural materials and helps farmers analyze Nitrogen (protein & chlorophyl), soil quality and yield indicators.
Remote Sensing Surveys
it isn't enough to fly a hyperspectral detector across farmland to look for moisture levels, disease or nutrient deficiencies. These detectors are calibrated with ground-based sampling and laboratory methods.
Week 1
farmers collect leaf samples, Drone UAV flies over a broader area of coverage.
Week 2
laboratory work and hyperspectral survey pre-processing and environmental corrections.
Week 3 & 4
Leaf to Canopy upscaling
and post-processing to create:
The 'Look-back' Maps Include Calibrations to help farmers with detecting:
-Moisture levels,
-Crop yield,
-Pest presence,
-Disease severity,
-N balance, and
-Crop traits.