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Transforming Agriculture with Cyber-Physical Systems: An Insight into Future Smart Farming

Submitted:

12 June 2026

Posted:

15 June 2026

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Abstract
Agriculture is going through transformations by leveraging the advancements in technological practices including the implementation of Cyber-physical systems (CPS), a centralized system encompassing highly integrated computational and physical elements. It consists of the interconnected web of physical elements in the form of wired and/or wireless field sensors (e.g., moisture sensors, temperature sensors, pH sensors, humidity sensors, etc.), and computational and control elements in the form of artificial intelligence enhanced processing algorithms (e.g., machine learning and deep learning models) CPS allows farmers to, manage irrigation, dispense fertilizers and pesticides meticulously, and anticipate crop yield and market demand. Conventional labor-intensive procedures can be eliminated with these technologies, which can automate all crop-growing activities from field preparation to harvesting. The objective of the perspective is to give an insight into CPS in agriculture, their use, implementation, current challenges, and future recommendations while highlighting the benefits of carrying out CPS in agriculture, such as improved efficiency, enhanced productivity, and minimal resource wastage. It discusses key components and technologies involved, such as sensor networks, Internet of Things (IoT) appliances, cloud driven computing, and data analytical frameworks. Furthermore, challenges and limitations of CPS implementation, including high upfront costs, infrastructure requirements, and data privacy concerns, are also discussed. Future directions and research opportunities in precision farming, predictive analytics, and resource allocation optimization are explored.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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