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VOL. 10, ISSUE 1 (2025)
Transforming Agricultural Process Engineering: The convergence of IoT and AI
Authors
Ganesh S Kahar, Rinkesh Gosavi, A A Sawant, VP Kad, SB Kalse, HD Rupanawar
Abstract
The convergence of the Internet of Things
(IoT) and Artificial Intelligence (AI) is revolutionizing agricultural process
engineering by driving innovation in farm management, efficiency, and
sustainability. These advanced technologies enable real-time monitoring of
critical agricultural parameters such as soil moisture, temperature, humidity,
and crop health, facilitating informed decision-making. IoT-powered sensors,
AI-based pest control systems, precision irrigation, and automated harvesting
are optimizing resource utilization, significantly reducing costs and
environmental impact. Furthermore, AI algorithms provide real-time insights
into soil fertility, crop management, and predictive weather patterns,
enhancing long-term sustainability and food security. While the integration of
these technologies offers considerable benefits, challenges such as high
capital investment, limited digital literacy, and insufficient connectivity in
rural areas present barriers to widespread adoption. Looking ahead, the future
of smart agriculture lies in the seamless incorporation of IoT, AI, robotics,
and emerging technologies such as block chain, quantum computing, and edge
computing, which have the potential to overcome these limitations. To ensure
equitable access and adoption, comprehensive policy initiatives, investments in
rural infrastructure, and farmer training programs will be critical in driving
the future of sustainable, technology-driven agriculture.
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Pages:42-52
How to cite this article:
Ganesh S Kahar, Rinkesh Gosavi, A A Sawant, VP Kad, SB Kalse, HD Rupanawar "Transforming Agricultural Process Engineering: The convergence of IoT and AI". International Journal of Food Science and Nutrition, Vol 10, Issue 1, 2025, Pages 42-52
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