Papers
3
Total Citations
28
H-Index
3
About
A. Prasanth is at the forefront of applying artificial intelligence to transform agriculture and industrial automation. Their research primarily focuses on computer vision systems for smart farming—encompassing livestock, poultry, and fish farming—and on hyperautomation for smart factory processes. Prasanth’s work in computer vision helps farmers leverage AI to analyze visual data, making precision agriculture accessible and efficient, while their exploration of hyperautomation aims to streamline manufacturing by automating labor-intensive tasks. With over 28 citations across their most-cited papers, including a 2024 study on self-powered sensing systems augmented by machine learning, Prasanth’s contributions are gaining traction in the rapidly evolving field of AI-driven sustainability. Their research not only addresses practical challenges in food production and industry but also pushes the boundaries of smart, autonomous systems. For students and researchers, Prasanth’s work offers a compelling glimpse into how AI can revolutionize traditional sectors, making processes smarter, more efficient, and less reliant on manual intervention.
Research Focus
Key Achievements
Top Papers
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- 3Augmented machine learning towards smart self-powered sensing systems3 citations · 2024