Shagun Sharma
Papers
3
Total Citations
48
H-Index
3
About
Shagun Sharma is a rising researcher at the intersection of artificial intelligence and applied automation, whose work spans both enterprise efficiency and agricultural sustainability. Her most impactful contribution, “Applications, Tools and Technologies of Robotic Process Automation in Various Industries” (2022), has garnered 39 citations, establishing her as a key voice in the practical deployment of RPA across healthcare, banking, and other sectors. By bridging AI and machine learning with robotic process automation, Sharma has helped illuminate how intelligent systems can transform routine business operations. Simultaneously, Sharma is making significant strides in precision agriculture. Her research on cassava leaf disease classification, published in 2023 and 2024, leverages pre-trained EfficientNet deep learning models to detect crop diseases with high accuracy. These studies, which have already accumulated citations, address the urgent global demand for food security by empowering farmers with advanced, AI-driven diagnostic tools. Sharma’s work demonstrates a rare ability to apply cutting-edge deep learning techniques to real-world agricultural challenges, positioning her as a versatile and impactful contributor to both the automation and agri-tech research communities.
Research Focus
Key Achievements
Top Papers
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