Drishti — Precision-Agriculture Ground Station
Drone imagery in, crop-health maps and spray prescriptions out.
Overview
A Windows ground station for an autonomous hexacopter. It takes paired RGB and near-infrared images from two Raspberry Pi cameras, computes vegetation indices (NDVI, SAVI, GNDVI), classifies crop health into four zones, and exports spray-prescription maps. In active development.
The Problem
Spraying a whole field evenly wastes pesticide and fertiliser on healthy crops. Targeting only the stressed areas needs current, reliable maps of crop health.
Approach
Paired RGB and NIR frames are aligned, converted to vegetation indices, classified into four health zones by NDVI thresholds, and exported as Shapefile or GeoJSON prescriptions. The desktop app (PySide6) has FLY, SCAN, HISTORY and SETTINGS pages, reads flight telemetry over MAVLink, and keeps field and flight history in SQLite.