R.S. Ponmagal

SRM Institute of Science and Technology, Dr. M.G.R. Educational and Research Institute

Papers

Total Citations

H-Index

About

Dr. R.S. Ponmagal’s research stands at the intersection of artificial intelligence, autonomous systems, and agricultural technology. Her most influential work, a 2020 paper on automatic EEG artifact detection using fuzzy kernel SVM and wavelet ICA, has garnered 83 citations, demonstrating her early impact in biomedical signal processing. More recently, Dr. Ponmagal has pioneered the application of unmanned ground vehicles (UGVs) for precision agriculture, notably developing an AI-assisted system for paddy crop disease identification. This 2023 work, with 14 citations, integrates autonomous navigation with real-time crop health monitoring, offering a transformative alternative to traditional farming methods. Her foundational 2016 study on cloud computing for UGV navigation, though less cited, laid critical groundwork for autonomous robots in industrial and military contexts by addressing sensor networking challenges. Dr. Ponmagal’s contributions bridge theoretical AI with practical, field-deployable solutions, advancing both healthcare diagnostics and sustainable agriculture. Her research exemplifies how intelligent systems can solve real-world problems, from analyzing neural signals to guiding drones over rice paddies—making her a versatile and impactful figure in modern engineering.