T. Bharath Kumar
Papers
1
Total Citations
29
H-Index
1
About
T. Bharath Kumar is a researcher at the forefront of applying deep learning to pressing global challenges, particularly in food sustainability and agricultural technology. His work centers on developing intelligent computer vision systems that can detect, classify, and assess the quality of fresh and damaged produce, directly addressing the critical issue of food waste. His most influential paper, "A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique" (2022), has already garnered 29 citations, reflecting its timely and practical impact. This research tackles the inefficiencies in food supply chains, homes, and restaurants by automating the identification of spoiled or overripe fruits, enabling better inventory management and reducing unnecessary waste. Kumar’s contributions are notable for their direct application to real-world problems, offering scalable, AI-driven solutions that can be integrated into sorting facilities and smart kitchens. His work represents a vital intersection of machine learning and environmental sustainability, making him a key voice in the fight against global food loss.
Research Focus
Key Achievements
Top Papers
- 1