Paddy Disease Detection and Classification Using Computer Vision Techniques
Published in arXiv, 2024
Conducted a comparative study of object detection and classification for paddy disease identification using deep learning models such as CNNs, Vision Transformers, and YOLO. Also developed a mobile application to provide real-time disease diagnosis and treatment suggestions.
Recommended citation: Bimarsha Khanal et al. (2024). "Paddy Disease Detection and Classification Using Computer Vision Techniques." arXiv:2412.05996.
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