Ms. J. Mohana Preethi

Papers

Total Citations

H-Index

About

Ms. J. Mohana Preethi is a researcher at the forefront of applying machine learning to agricultural and environmental challenges. Her work centers on leveraging artificial intelligence for soil science and crop management, with a particular emphasis on predictive modeling and automation. Her most-cited paper, "Soil Fertility Analysis and Crop Prediction using Machine Learning" (2020, 15 citations), demonstrates a novel integration of robotics and machine learning to analyze soil properties and forecast optimal crop yields. This contribution stands out for its practical approach to automating agricultural decisions, addressing critical issues in food security and sustainable farming. By harnessing scientific knowledge and technology, Preethi’s research exemplifies how AI can transform traditional practices into precise, data-driven systems. Her work not only advances the field of agricultural informatics but also provides accessible tools for farmers and policymakers. With a growing citation record, she is recognized for bridging the gap between complex algorithms and real-world applications, making her a promising voice in the intersection of machine learning and environmental sustainability.