Farshina Nazrul
Papers
1
Total Citations
51
H-Index
1
About
Farshina Nazrul is a rising researcher at the forefront of applying artificial intelligence to sustainable agriculture. Her work primarily focuses on leveraging AI and machine learning to combat the critical global challenge of herbicide-resistant weeds, a problem exacerbated by the overuse of chemical herbicides. In her highly cited 2023 review, "Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review," which has already garnered 51 citations, she systematically explores how high-tech strategies—including computer vision, deep learning, and robotics—can revolutionize weed management. This seminal paper not only synthesizes cutting-edge AI tools but also provides a roadmap for reducing chemical dependency in farming. By bridging the gap between computational methods and agronomy, Nazrul’s contributions offer practical, scalable solutions for precision agriculture. Her work is particularly impactful for researchers and students interested in the intersection of environmental sustainability and technology, positioning her as a key voice in the movement toward smarter, more resilient food systems.
Research Focus
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Top Papers
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