Papers
1
Total Citations
2
H-Index
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About
I. Sheik Arafat is a researcher at the forefront of integrating Internet of Things (IoT) and deep learning technologies for agricultural innovation. His primary research focuses on the early detection of plant diseases, particularly in tomato crops, where he has developed automated systems that combine sensor networks with advanced neural networks to identify bacterial, fungal, and viral infections before they cause significant damage. His most cited work, "Automatic Early Detection of Tomato Leaf Disease using IoT and Deep Learning" (2024), has already garnered 2 citations, demonstrating growing interest in his approach to mitigating crop losses. By addressing the critical challenge of timely disease identification, Arafat's contributions help farmers reduce crop damage and improve yield quality through precision agriculture. His work bridges the gap between cutting-edge artificial intelligence and practical farming needs, offering scalable solutions that could transform how agricultural threats are managed. As his research continues to gain traction, Arafat is establishing himself as a key voice in the application of smart technologies for sustainable food production.
Research Focus
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Top Papers
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