Cauli-Det: Modified YOLOv8 for Cauliflower Disease Detection
91.1% mAP across three cauliflower disease classes from smartphone-captured field images. Published in Frontiers in Plant Science.
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91.1% mAP across three cauliflower disease classes from smartphone-captured field images. Published in Frontiers in Plant Science.
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Multiple RL agents independently observe local patches of a mammogram ROI, communicate, and reach a decentralized consensus classification. Presented at IEEE ICDABI 2023.
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Converts natural-language requests into SQL, executes them, and returns results conversationally: prompt engineering, RAG, vector databases, Gemini and OpenAI APIs.
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