Shalini Sehgal
Papers
1
Total Citations
9
H-Index
1
About
Shalini Sehgal is a forward-thinking researcher at the intersection of artificial intelligence and sustainable agriculture. Her work explores how AI can serve as a transitional tool to reshape food systems for greater environmental and economic resilience. In her most-cited paper, "Artificial Intelligence (AI) as a Transitional Tool for Sustainable Food Systems" (2023), Sehgal examines the practical deployment of machine learning, predictive analytics, and automation to optimize supply chains, reduce waste, and enhance crop management. Though early in its citation trajectory—with 9 citations to date—the paper has already sparked interest among scholars and practitioners seeking scalable, tech-driven solutions to global food security challenges. Sehgal’s contributions are notable for bridging the gap between cutting-edge computational methods and real-world agricultural policy, offering a roadmap for integrating AI without displacing traditional farming knowledge. Her work is particularly relevant as the United Nations’ Sustainable Development Goals push for innovation in food production. For students and researchers, Sehgal represents a new generation of scholars who are not only advancing technical frontiers but also ensuring that technology serves human and planetary well-being.
Research Focus
Key Achievements
Top Papers
- 1