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About

Prantosh Paul is a researcher whose work sits at the dynamic intersection of agricultural informatics, artificial intelligence, and emerging digital technologies. His scholarship focuses on how robotics, machine learning, IoT, and data science can transform modern agricultural systems, contributing meaningfully to the growing field of Agro Informatics. Paul's most-cited work explores the deployment of AI-supported robotic systems in smart agriculture, demonstrating how programmable, automated technologies can revolutionize farming practices — a paper that has garnered 11 citations since its 2020 publication. His broader research portfolio examines how iSchools and information science institutions can integrate AI, machine learning, and robotics to cultivate intelligent societal systems, reflecting an interdisciplinary vision that bridges computing, library science, and applied technology. Paul has also investigated the digital divide within agricultural sectors, particularly in the Indian context, highlighting equity concerns as digital transformation accelerates across farming communities. Through work on Agricultural Data Science and IoT applications in sustainable agriculture, he advocates for technology-driven approaches that are both scientifically rigorous and environmentally responsible. His cumulative contributions, spanning multiple internationally recognized publications, position him as a thoughtful voice in the evolving conversation around intelligent, inclusive, and sustainable agricultural futures.