Drone Aerial Crop Health & Thermal Moisture Mapping with YOLOv11
Automated UAV orthomosaic stitcher and YOLOv11 weed/disease detector calculating Normalized Difference Vegetation Index (NDVI).
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Project Technical Overview
Processes aerial imagery captured by farm drones. Stitches multi-spectral frames into geo-referenced crop maps, computes NDVI vegetation indices to spot irrigation leaks, and executes YOLOv11 inference to count weed infestations and early blight spots with GPS coordinate tagging.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.