Papers
1
Total Citations
2
H-Index
1
About
Yashvant Kumar is a rising researcher at the intersection of computer vision and food science, whose work is shaping the future of automated quality and safety assurance in the food industry. His most-cited paper, "Computer Vision Technologies for Food Quality and Safety Assurance: Evaluating Trends and Analytical Results" (2026), provides a critical synthesis of how machine learning and imaging techniques are revolutionizing the detection of defects, contaminants, and freshness in food products. By evaluating emerging trends and analytical methodologies, Kumar offers a roadmap for integrating vision-based systems into real-world production lines, addressing both technical challenges and practical scalability. Though early in his career, his work has already garnered attention for its clarity and forward-looking perspective, laying the groundwork for safer, more efficient food supply chains. Kumar’s research bridges the gap between advanced computational models and applied agricultural engineering, making him a key voice in the growing field of smart food technology. His contributions are particularly valuable for students and researchers seeking to understand how computer vision can transform traditional quality control into a data-driven, automated process.
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Top Papers
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