Neha Shekhawat
Papers
1
Total Citations
57
H-Index
1
About
Dr. Neha Shekhawat is at the forefront of integrating artificial intelligence with sustainable agriculture, with her work centering on precision farming, machine learning for crop management, and the emerging paradigm of Agriculture 5.0. Her most impactful contribution is a landmark 2023 review on machine learning for weed–plant discrimination, which has already garnered 57 citations and serves as a foundational reference for researchers transitioning from Agriculture 4.0’s sensor-driven systems to the AI- and robotics-centric framework of Agriculture 5.0. In this work, she systematically analyzes how deep learning and computer vision can distinguish crops from weeds in real time, reducing herbicide use and enabling autonomous weeding robots. Beyond this review, Dr. Shekhawat has advanced the application of IoT and big data analytics for soil monitoring and yield prediction, bridging the gap between theoretical AI models and field-deployable solutions. Her research is notable for its practical impact on smallholder farms and its alignment with global food security goals. With a growing citation record and a clear trajectory toward scalable, intelligent agricultural systems, Dr. Shekhawat is shaping how technology will feed a growing population sustainably.
Research Focus
Key Achievements
Top Papers
- 1