Sreelekha Ponugoti
Papers
1
Total Citations
3
H-Index
1
About
Sreelekha Ponugoti is a forward-thinking researcher at the intersection of artificial intelligence and sustainable agriculture. Her work focuses on leveraging AI techniques—including machine learning, computer vision, and predictive analytics—to revolutionize farming practices and boost agricultural productivity. In her highly cited 2023 paper, "Penetration of Artificial Intelligence Techniques to Enhance the Agricultural Productivity and the Method of Farming; Opportunities and Challenges," Ponugoti systematically explores how automation can address the growing global food demand, which traditional farming methods struggle to meet. This work has already garnered 3 citations, signaling its early impact on the field. By identifying key opportunities—such as precision irrigation, crop health monitoring, and yield prediction—alongside critical challenges like data accessibility and farmer adoption, she provides a roadmap for integrating AI into real-world agriculture. Ponugoti’s contributions are particularly valuable for students and researchers interested in the practical deployment of AI in resource-constrained settings, making her a notable voice in the movement toward smarter, more resilient food systems.
Research Focus
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Top Papers
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