Papers
1
Total Citations
2
H-Index
1
About
Shobha Kumari is a rising researcher at the forefront of precision agriculture, where she integrates the Internet of Robotic Things (IoRT) and artificial intelligence to tackle critical challenges in sustainable farming. Her most-cited work, “IoRT and AI-Driven Solution for Optimal Herbicides Spray on Weeds in a Dynamic Agriculture Environment” (2025), introduces a novel, real-time system that uses AI-powered computer vision and IoRT-enabled robotic platforms to identify and selectively spray herbicides only on weeds, dramatically reducing chemical usage and environmental impact. With 2 citations already in its first year, this paper signals growing interest in her approach to merging autonomous robotics with deep learning for dynamic field conditions. Kumari’s contributions lie in bridging the gap between theoretical AI models and practical, deployable agricultural solutions, addressing the pressing need for eco-friendly, cost-effective weed management. Her work is particularly notable for its focus on real-time adaptability in unpredictable outdoor environments, a significant step toward fully autonomous farming. As a young scholar, Kumari is quickly establishing herself as a key voice in the intersection of robotics, AI, and sustainable agriculture, with her research poised to influence both academic discourse and on-the-ground farming practices.
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Top Papers
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