Lokit Sushruth T

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Lokit Sushruth T is a researcher at the forefront of applying deep learning to precision agriculture, with a primary focus on intelligent weed detection and crop management. His most cited work, "Weed Detection in Farmlands Using RCNN" (2025), tackles a critical challenge in sustainable farming: accurately identifying and classifying weed species to minimize competition for nutrients and reduce herbicide overuse. By leveraging Region-Based Convolutional Neural Networks, his research addresses the limitations of traditional detection methods, offering a scalable, automated solution for real-time field monitoring. With 4 citations in a short time, this paper signals growing recognition of his contributions to agricultural computer vision. Lokit’s work bridges the gap between advanced AI architectures and practical farming needs, aiming to optimize yield while promoting eco-friendly practices. His research is particularly valuable for students and engineers interested in the intersection of machine learning, remote sensing, and agronomy, demonstrating how deep learning can transform labor-intensive tasks into efficient, data-driven processes. As the demand for smart farming solutions rises, Lokit Sushruth T’s innovations position him as an emerging voice in agricultural technology.