A Oviya

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

A. Oviya is a rising researcher at the forefront of applying artificial intelligence to precision agriculture, with a specialized focus on deep learning for real-time crop management. Her most influential work centers on the implementation of advanced object detection architectures, notably YOLOv9, to tackle critical challenges in weed detection. In her landmark 2024 paper, which has already garnered 6 citations, Oviya demonstrates how state-of-the-art neural networks can empower farmers with early, accurate identification of invasive weeds—a key factor in reducing crop yield losses and lowering production costs. By bridging the gap between cutting-edge computer vision and practical agronomic needs, her contributions offer scalable, AI-driven solutions that enhance sustainable farming practices. Oviya’s research not only highlights the transformative potential of deep learning in agriculture but also provides a blueprint for deploying lightweight, high-speed detection models in resource-constrained field environments. Her work is paving the way for smarter, more efficient weed management strategies, making her a notable voice in the growing field of agricultural AI.