Utkarsh Niranjan
Papers
1
Total Citations
1
H-Index
1
About
Utkarsh Niranjan is a rising researcher in agricultural artificial intelligence and computer vision, with a focused interest in applying deep learning to precision farming. His most notable contribution is the creation of "IndianPotatoWeeds," a novel dataset designed to advance weed detection and management in potato crops. This work, published in 2025, addresses a critical challenge in Indian agriculture by providing a specialized resource for training models to distinguish between crops and invasive plants, thereby enabling more efficient, automated weed control. Although early in its citation trajectory, the dataset's potential to reduce herbicide use and improve yield has already drawn attention from the agri-tech community. Niranjan’s research sits at the intersection of sustainable agriculture and machine learning, aiming to bridge the gap between field-level problems and scalable AI solutions. His work underscores a commitment to developing practical tools that empower farmers, and it positions him as a promising voice in the growing field of agricultural informatics.
Research Focus
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Top Papers
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