This system uses a drone with a multispectral camera to capture Red, Green, Red Edge, and NIR imagery, which is processed into vegetation indices like NDVI and NDRE to detect stress or pest-affected crop regions. Machine learning algorithms map these affected zones and convert them into KML files, which guide an autonomous spraying drone with precision nozzles to apply pesticides only where needed, reducing chemical usage and environmental impact. The solution supports pre- and post-spray analysis, is modular for different crops, and offers an affordable, scalable, data-driven approach for sustainable precision agriculture.
IIT Tirupati, Andhra Pradesh
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