Smritilekha Das
Papers
1
Total Citations
8
H-Index
1
About
Dr. Smritilekha Das is a rising researcher in the intersection of agricultural technology and artificial intelligence, with a primary focus on precision farming and computer vision. Her most cited work, "A Framework for Weed Detection in Agricultural Fields Using Image Processing and Machine Learning Algorithms" (2022), addresses a critical challenge in modern agriculture: the efficient and sustainable management of weeds. By integrating image processing techniques with machine learning models, Dr. Das has proposed a framework that enables automated, accurate identification of weeds in crop fields, reducing the need for blanket herbicide application and minimizing crop damage. This contribution is particularly impactful for farmers seeking cost-effective, environmentally friendly weed control solutions. With 8 citations, her work is gaining traction among researchers in agri-tech and applied AI. Dr. Das’s research stands at the crossroads of sustainability and innovation, offering practical tools for enhancing crop yield and reducing manual labor. Her efforts highlight a commitment to solving real-world agricultural problems through data-driven approaches, making her a notable voice in the growing field of smart farming.
Research Focus
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Top Papers
- 1