V. Sivakumar

Vellore Institute of Technology University

Papers

Total Citations

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About

Dr. V. Sivakumar is a leading researcher in precision agriculture and deep learning, with a core focus on developing intelligent systems for crop and weed management. His most notable contribution is the pioneering work on weed detection in farmlands using Region-Based Convolutional Neural Networks (RCNN), a study that has garnered 4 citations since its publication in 2025. This research addresses a critical challenge in sustainable farming: accurately identifying and classifying weed species to optimize nutrient allocation and reduce herbicide use. By applying advanced computer vision techniques, Dr. Sivakumar’s work enables real-time, automated weed recognition, directly supporting the shift toward data-driven, eco-friendly agricultural practices. His approach stands out for its practical applicability in diverse field conditions, bridging the gap between laboratory models and on-farm deployment. As a rising voice in agricultural AI, Dr. Sivakumar’s contributions are shaping the future of smart farming, offering scalable solutions that enhance crop yield while minimizing environmental impact. His ongoing research continues to explore novel architectures for real-time field analysis, positioning him as a key innovator in the intersection of machine learning and agronomy.