G. Ganeshkumar

Hindustan Institute of Technology and Science

Papers

Total Citations

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About

Dr. G. Ganeshkumar is a leading researcher in computer vision and agricultural robotics, with a primary focus on developing intelligent detection systems for precision agriculture. His most significant contribution lies in advancing real-time fruit and vegetable detection using the YOLO (You Only Look Once) algorithm, addressing the critical challenge of accurate recognition under complex field conditions. His 2023 work tackles the inherent difficulties of fruit detection—including variable lighting, shadow interference, branch and leaf occlusion, and clustered fruit—by optimizing deep learning architectures for robotic harvesting platforms. While his citation count is currently building, this foundational research has direct implications for automating agricultural tasks, reducing labor dependency, and improving harvest efficiency. Dr. Ganeshkumar’s work bridges the gap between computer vision theory and practical agricultural applications, offering robust solutions that perform reliably in unstructured outdoor environments. His contributions are particularly valuable for researchers and engineers developing autonomous farming systems, as they provide a pathway toward more resilient and accurate detection algorithms that can operate under the unpredictable conditions of real-world orchards and fields.