S. Gomathi

Papers

Total Citations

H-Index

About

S. Gomathi is a researcher at the intersection of quantum-enhanced machine learning and precision agriculture, whose work explores how advanced computational models can solve real-world problems in healthcare and farming. Her most cited paper, "Optical bio sensor based cancer cell detection using optimized machine learning model with quantum computing" (2023, 11 citations), proposed a novel framework combining quantum computing with optimized machine learning to improve the sensitivity and accuracy of optical biosensors for cancer diagnostics—a contribution that, while later retracted, initially sparked interest in quantum-assisted biomedical sensing. More recently, Gomathi has focused on agricultural technology, authoring "AI-Powered Multipurpose Agrobot for Precision Farming: Crop Health Management, Fertilizer Recommendation and Yield Prediction" (2025, 3 citations). This work addresses critical challenges faced by Indian farmers—where agriculture employs nearly half the workforce and contributes over 20% of GDP—by integrating AI-driven robotics for tasks like ploughing, sowing, and pesticide application, alongside data-driven crop health monitoring and yield forecasting. Her research aims to democratize smart farming tools, reducing labor hazards and improving efficiency. Though her citation impact is still emerging, Gomathi’s dual focus on quantum-enhanced biosensing and AI-powered agrobots reflects a commitment to applying cutting-edge computation to pressing societal needs in health and food security.