S.Venkatesa Prasath

Papers

Total Citations

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About

S. Venkatesa Prasath is a researcher at the forefront of applying artificial intelligence and computer vision to agricultural challenges. His work centers on developing automated systems for plant disease detection, a critical area for enhancing crop yield and food security. His most-cited paper, "Automated Agronomic Bot for Green Ailment Scanner" (2022), with 5 citations, introduces a novel approach for early identification of plant ailments by analyzing visible characteristics. This contribution addresses a pressing need in Indian agriculture, where timely disease detection can significantly reduce productivity losses. Prasath’s research bridges the gap between advanced computational techniques and practical farming solutions, offering scalable tools for long-term agricultural sustainability. By focusing on automated, non-invasive diagnostics, he empowers farmers with accessible technology to safeguard crops. His work not only advances precision agriculture but also underscores the transformative potential of AI in rural economies. With a clear commitment to solving real-world problems, Prasath continues to drive innovation at the intersection of machine learning and agronomy, making him a notable figure in applied agricultural research.