Agricultural Crop Segmentation and Leaf Damage Detection Using CNN and HSV
Project Code :TEMBMA3723
Objective
To develop an edge-based agricultural leaf damage detection system using Raspberry Pi and a USB webcam for real-time image processing and damage assessment in the field. The system enables local analysis and remote monitoring through a lightweight web interface.
Related Topics
Paper Publishing
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