G. S. N. Murthy
Papers
1
Total Citations
17
H-Index
1
About
G. S. N. Murthy is a leading researcher at the intersection of sustainable agriculture, big data analytics, and artificial intelligence. His work focuses on leveraging computational methods to optimize crop yields while minimizing environmental impact, addressing critical challenges in global food security. His most-cited paper, "Optimization of Crop Yields in Sustainable Agriculture: Application of Big Data Analytics and Artificial Intelligence" (2025), has already garnered 17 citations, reflecting its timely and influential contribution to the field. In this work, Murthy demonstrates how AI-driven models can analyze vast datasets—from soil conditions to weather patterns—to recommend precise interventions, reducing resource waste and boosting productivity. Beyond this flagship study, his research portfolio includes pioneering approaches to integrating remote sensing data with machine learning for real-time crop monitoring. Murthy’s contributions are particularly notable for bridging the gap between advanced computational tools and practical agricultural applications, making his work valuable to both academics and policymakers. As a researcher committed to sustainable innovation, he continues to shape how technology can transform farming practices for a more resilient future.
Research Focus
Key Achievements
Top Papers
- 1