Manesh Kokare
Papers
1
Total Citations
55
H-Index
1
About
Dr. Manesh Kokare is a leading researcher in the intersection of deep learning and agricultural technology, with a primary focus on computer vision for crop science. His most impactful work addresses the critical challenge of real-time plant disease detection, a cornerstone for sustainable crop production. In his highly cited 2024 paper, "Advancing real-time plant disease detection: A lightweight deep learning approach and novel dataset for pigeon pea crop," Dr. Kokare introduced a novel, efficient deep learning model specifically designed for rapid, on-site diagnosis. This work, which has already garnered 55 citations, tackles the unpredictable spread of diseases within plants by providing a practical, lightweight solution that balances accuracy with computational efficiency. By creating a new dataset for pigeon pea crops, he has filled a crucial gap in agricultural AI resources. Dr. Kokare's contributions are pivotal for enabling early disease treatment, directly empowering farmers with accessible, real-time monitoring tools to mitigate crop loss and enhance food security.
Research Focus
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Top Papers
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