Sangeeta Bansal

Papers

Total Citations

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About

Sangeeta Bansal is a leading researcher at the intersection of artificial intelligence and sustainable agriculture, with a primary focus on combating herbicide-resistant weeds through advanced computational methods. Her most impactful work, the 2023 review "Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review" (51 citations), critically examines how AI-based strategies—including machine learning, computer vision, and robotics—can replace or augment traditional chemical approaches to weed management. This contribution is particularly significant given the global challenge of herbicide resistance, which threatens crop yields and environmental health. Bansal’s research systematically evaluates AI tools for early detection, precision spraying, and autonomous weeding, offering a roadmap for reducing chemical dependency while maintaining agricultural productivity. Her work bridges the gap between agronomy and computer science, making her a key voice in precision agriculture. With a growing citation record, Bansal’s reviews and empirical studies are shaping how researchers and practitioners approach sustainable weed control. Her achievements highlight the transformative potential of AI in addressing pressing environmental and food security challenges, positioning her as an influential figure in the field of digital agriculture.