Gayatri Vaidya

Papers

Total Citations

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About

Dr. Gayatri Vaidya is a leading researcher in artificial intelligence and sustainable technology, with a primary focus on applying deep learning to critical global challenges. Her most impactful work addresses the pressing issue of food waste through innovative computer vision techniques. In her highly cited 2022 paper, "A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique" (29 citations), Dr. Vaidya developed a pioneering model that accurately distinguishes between fresh and damaged produce. This breakthrough offers a scalable solution for reducing waste across food supply chains, homes, and restaurants, where spoilage and overcooking are major contributors to food loss. By automating quality assessment, her work empowers stakeholders to make informed decisions, minimizing waste and enhancing food security. Dr. Vaidya’s research exemplifies the transformative potential of AI in sustainability, earning her recognition as a thought leader at the intersection of deep learning and environmental impact. Her contributions continue to inspire new approaches to reducing food waste, making her a vital voice in the global effort to build more efficient and resilient food systems.