Yogesh Yogesh

Amity University, Sathyabama Institute of Science and Technology

Papers

Total Citations

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About

Yogesh Yogesh is a researcher at the intersection of artificial intelligence, computer vision, and autonomous systems. His work focuses on developing intelligent, vision-based solutions for real-world applications, from agriculture to robotics. In his highly cited 2018 paper, "Analysis and Detection of Fruit Defect Using Neural Network" (13 citations), Yogesh pioneered the use of deep learning for automated quality inspection in agriculture, demonstrating how neural networks can accurately identify surface defects in fruit—a contribution with significant implications for food processing and supply chain efficiency. He further advanced the field of autonomous navigation in his 2019 work, "Rough Terrain Autonomous Vehicle Control Using Google Cloud Vision API" (5 citations), where he integrated cloud-based computer vision with vehicle control systems to enable robust navigation across uneven, unstructured environments. This research highlights his ability to leverage modern APIs and scalable cloud infrastructure for real-time decision-making in robotics. Yogesh’s work exemplifies how computer vision can emulate and extend human visual capabilities, with practical impact in automated vehicles, industrial inspection, and agricultural robotics.