K. Sujatha

Dr. M.G.R. Educational and Research Institute

Papers

Total Citations

H-Index

About

K. Sujatha’s research lies at the intersection of agricultural technology, autonomous systems, and cloud computing, with a focus on revolutionizing crop health monitoring. Her most cited work, “UGVs for Agri Spray with AI assisted Paddy Crop disease Identification” (2023, 14 citations), introduces a novel approach to precision agriculture by integrating unmanned ground vehicles (UGVs) with artificial intelligence. This system enables autonomous navigation and real-time disease detection in paddy crops, moving beyond traditional monitoring methods to enhance efficiency and reduce manual labor. Her earlier study, “Cloud computing for autonomous navigation of unmanned ground vehicle” (2016, 2 citations), explores the use of distributed sensor networks and cloud-based data processing to enable UGVs to perceive environmental variables like temperature and obstacles. This foundational work addresses key challenges in deploying autonomous robots for industrial and military applications. Sujatha’s contributions demonstrate a clear trajectory from foundational cloud-robot integration to applied AI-driven agricultural solutions, showcasing her ability to bridge theoretical frameworks with practical, high-impact technologies. Her work is particularly notable for its potential to improve food security through smarter farming practices.