V. Nagaraj

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

V. Nagaraj is a researcher at the forefront of applying deep learning to agricultural technology, with a particular focus on precision weed management. Their most-cited work, "Design and evaluation of a deep CNN algorithm for detecting farm weeds" (2023, 3 citations), tackles a critical challenge in modern farming: the inefficient and environmentally harmful overuse of herbicides. Nagaraj’s major contribution lies in developing a convolutional neural network (CNN) that can accurately identify weeds in real-time, enabling targeted herbicide application rather than blanket spraying. This approach not only reduces chemical waste and environmental damage but also minimizes the need for labor-intensive manual weeding. By bridging computer vision and sustainable agriculture, Nagaraj’s research offers a scalable, AI-driven solution to one of farming’s oldest problems. Though early in its citation impact, this work represents a promising step toward smarter, more eco-friendly crop management—a vital innovation for feeding a growing global population while protecting ecosystems.