M Sibishree

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

Dr. M Sibishree is a rising leader in agricultural artificial intelligence, with a focused expertise in deep learning for precision farming. Her most cited work, "Implementation of YOLOv9 in Agricultural AI for Enhanced Weed Detection" (2024), has already garnered 6 citations, highlighting its immediate impact on the field. In this pivotal study, Dr. Sibishree leverages the state-of-the-art YOLOv9 architecture to develop a robust, real-time system for early weed detection, addressing a critical bottleneck in agricultural productivity. By enabling farmers to identify and manage weeds with unprecedented accuracy, her research directly reduces crop yield losses and lowers production costs. This contribution bridges the gap between advanced computer vision and practical, on-farm solutions, empowering sustainable agriculture through AI. Dr. Sibishree’s work stands as a testament to the transformative potential of deep learning in environmental monitoring and resource management, positioning her as a key innovator at the intersection of technology and agronomy. Her findings offer a scalable blueprint for integrating AI into modern farming practices, promising significant economic and ecological benefits.