Ms. C G Neha

Papers

Total Citations

H-Index

About

Ms. C G Neha is a researcher at the forefront of applying machine learning to agricultural and environmental challenges. Her key research areas include soil fertility analysis, crop prediction, and the integration of artificial intelligence with robotics for automation. Her most cited work, "Soil Fertility Analysis and Crop Prediction using Machine Learning" (2020), has garnered 15 citations, demonstrating its impact on precision agriculture. In this study, she leverages scientific knowledge and technology to develop models that analyze soil parameters and predict optimal crops, enhancing yield and sustainability. By focusing on the intersection of robotics and machine learning, Neha contributes to the automation of critical tasks, from soil monitoring to decision support systems. Her work not only advances the field of AI-driven agriculture but also offers practical solutions for food security. With a growing citation record and a clear vision for technology’s role in solving real-world problems, Ms. C G Neha is a promising voice in the movement toward smarter, data-driven farming.