The project aims to develop an automated UAV-based maize disease detection system. It includes creating an aerial image database, using onboard computing with high-resolution sensors and ML for accurate diagnosis, building a cost-effective indigenous UAV platform, enabling large-scale commercialization, ensuring scalability to other crops, and integrating GIS-based crop-health mapping
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