Hiteshri Yagnik

Papers

Total Citations

1,068

H-Index

About

Hiteshri Yagnik is a leading researcher at the intersection of artificial intelligence and sustainable agriculture. Her work focuses on leveraging AI and cognitive computing to revolutionize traditional farming practices, addressing critical global challenges in food security and resource management. Her most influential contribution, "Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides," has garnered an impressive 868 citations, highlighting its foundational impact on precision agriculture. In this seminal work, Yagnik demonstrates how AI-driven systems can dramatically reduce water waste and chemical runoff by optimizing irrigation schedules and targeted pesticide application. She further expands this vision in her highly cited comprehensive review, "Artificial cognition for applications in smart agriculture," which systematically maps the potential of cognitive technologies—from machine learning to computer vision—for autonomous crop monitoring and decision-making. By bridging advanced computational methods with real-world agronomic needs, Yagnik has established herself as a key architect of the smart farming revolution. Her research not only provides a roadmap for feeding a growing global population but also offers actionable solutions for minimizing agriculture’s environmental footprint, making her work essential reading for students and researchers in AI, environmental science, and sustainable development.