UAVs collect valuable information that is translated into digital artefacts to examine crop health parameters including Crop height and Leaf Area Index (LAI). UAVs supply abundant potential to make systematic plans about crop management, application of chemicals, harvesting time, and identification of management errors.
Multispectral and hyper-spectral aerial imagery produce Normalized Difference Vegetation Index (NDVI) maps that differentiate crops and crop stages using new-age detection softwares.
Aerial Imagery captured through flights get inch-perfect data insights on Sowing Area, Land Elevation Details, and Crop Germination details.