Papers
1
Total Citations
29
H-Index
1
About
S. Deva Kumar is a researcher at the forefront of applying deep learning to pressing global challenges, particularly in food sustainability and agricultural technology. His most cited work, "A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique" (2022, 29 citations), addresses the critical issue of food loss in supply chains and households by developing an intelligent system that distinguishes fresh produce from damaged items. This contribution directly tackles inefficiencies in food handling, offering a scalable solution to reduce waste at multiple levels. Kumar’s research integrates computer vision and neural networks to automate quality assessment, a vital step toward smarter food management. His work has garnered attention for its practical impact, bridging the gap between advanced AI and real-world sustainability goals. By focusing on reducing overcooking and spoilage—key drivers of waste—Kumar demonstrates a commitment to leveraging technology for environmental and economic benefit. His findings are a valuable resource for researchers and practitioners aiming to build more efficient, waste-conscious food systems.
Research Focus
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Top Papers
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