An unmanned aerial vehicle (UAV)-enabled, big data-driven automatic crop disease diagnosis tool for precision farming

This project will develop an ICT-based novel automated approach for accurate and timely diagnosis of crop disease and severity assessment based on large-scale images taken from an unmanned aerial vehicle (UAV) and smartphones in real fields and provide a feasibility study of using UAVs as a farming tool for disease control and management. We will initially focus on BLB in Malaysia rice production

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