Udit Debangshi
Papers
1
Total Citations
51
H-Index
1
About
Udit Debangshi is a researcher at the forefront of applying artificial intelligence to sustainable agriculture, with a primary focus on combating the growing global crisis of herbicide-resistant weeds. His most cited work, the 2023 review "Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review," has already garnered 51 citations, establishing him as a key voice in this critical intersection of agronomy and machine learning. In this seminal paper, Debangshi systematically evaluates how high-tech AI strategies—including computer vision, deep learning, and precision spraying systems—can replace or augment traditional chemical-heavy approaches to weed management. His major contribution lies in synthesizing the fragmented landscape of AI-based tools into a coherent framework for researchers and practitioners, demonstrating how data-driven methods can detect resistant weed species in real time and optimize herbicide application. By highlighting the limitations of excessive herbicide use and offering a roadmap for technological intervention, Debangshi’s work directly addresses one of agriculture’s most pressing sustainability challenges. His research not only advances precision agriculture but also provides actionable insights for reducing environmental impact, making him a notable figure in the movement toward smarter, more resilient farming systems.
Research Focus
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Top Papers
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