Ravi Sharma

Dr. B. R. Ambedkar National Institute of Technology Jalandhar

Papers

Total Citations

H-Index

About

Ravi Sharma is an emerging researcher at the intersection of artificial intelligence and applied systems, with a primary focus on precision agriculture and cyber-physical systems. His most cited work, "Application of Machine Learning in Precision Agriculture" (2021, 6 citations), introduces innovative ML methods for crop disease identification and yield forecasting, directly addressing the need for data-driven solutions in agriculture—a sector vital to global economies. Building on this, his 2022 paper "Applications of Artificial Intelligence in Cyber-Physical Systems" (4 citations) explores how AI can enhance autonomy and automation in data-rich environments, pushing the boundaries of CPS innovation. Though early in his career, Sharma’s contributions are notable for bridging theoretical machine learning with real-world agricultural and industrial challenges. His work demonstrates a clear trajectory toward scalable, intelligent systems that improve efficiency and decision-making. As his citation counts grow, Sharma is positioning himself as a promising voice in applied AI, with potential to influence sustainable farming and smart infrastructure—making his research particularly relevant for students and practitioners seeking impactful, interdisciplinary applications of machine learning.