S. M. Haji Nishath
Papers
1
Total Citations
2
H-Index
1
About
Dr. S. M. Haji Nishath is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and sustainable agriculture. Her primary research focuses on developing intelligent, automated systems for precision farming, with a particular emphasis on the early detection of crop diseases. Her most cited work, "Automatic Early Detection of Tomato Leaf Disease using IoT and Deep Learning" (2024), exemplifies this contribution by proposing a novel framework that integrates IoT sensor networks with deep learning models to identify plant pathologies before they become visible to the naked eye. This proactive approach is critical for minimizing crop loss and reducing reliance on broad-spectrum pesticides. With a growing citation impact, Dr. Nishath's research directly addresses the pressing challenge of food security by empowering farmers with data-driven tools for timely intervention. Her work is notable for bridging the gap between advanced computational techniques and practical, on-the-ground agricultural needs, positioning her as a key innovator in the field of smart farming and sustainable crop management.
Research Focus
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Top Papers
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