Papers
2
Total Citations
3
H-Index
1
About
Dr. Rajni Goyal is a pioneering researcher at the intersection of the Internet of Robotic Things (IoRT) and artificial intelligence, with a focused expertise in precision agriculture and sustainable weed management. Her work addresses the critical challenge of optimizing herbicide application in dynamic agricultural environments, aiming to reduce chemical usage while maximizing crop health. In her landmark 2025 study, "IoRT and AI-Driven Solution for Optimal Herbicides Spray on Weeds in a Dynamic Agriculture Environment," Dr. Goyal introduced a novel, real-time decision-making framework that integrates robotic sensors and deep learning to target weeds with unprecedented accuracy. This contribution has already garnered 2 citations, signaling its immediate relevance. Further cementing her impact, she developed the "IndianPotatoWeeds" dataset—a meticulously curated resource containing high-resolution imagery of weeds in potato crops. This dataset, which has earned 1 citation, provides a foundational tool for training and benchmarking weed detection models, addressing a critical gap in Indian agricultural research. Dr. Goyal’s work not only advances the field of agricultural robotics but also offers scalable, AI-driven solutions that promise to transform farming practices, reduce environmental harm, and enhance food security.
Research Focus
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Top Papers
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