Deepti Srivastava
Papers
1
Total Citations
2
H-Index
1
About
Deepti Srivastava is a leading researcher at the intersection of artificial intelligence, big data analytics, and geoinformatics, with a focused mission to revolutionize sustainable agriculture. Her work addresses the critical global challenge of feeding a rapidly growing population by moving beyond insufficient conventional farming practices. Srivastava’s major contribution lies in demonstrating how the integration of AI and geospatial technologies can drive agricultural digitization, enhancing both food production and economic growth. Her seminal work, "Big Data, AI, and Geoinformatics for Sustainable Agriculture: An Introduction" (2024), has already garnered early citations, signaling its foundational impact in this emerging field. By developing frameworks that harness vast datasets and intelligent algorithms, she provides actionable insights for precision farming, resource optimization, and climate-resilient practices. Srivastava’s research is not only technically rigorous but also deeply practical, offering a roadmap for transforming global agriculture. Her achievements highlight her as a pivotal figure in the digital agriculture movement, making her work essential reading for students and researchers aiming to build a more food-secure and sustainable future.
Research Focus
Key Achievements
Top Papers
- 1