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    Smart agriculture technology: An integrated framework of renewable energy resources, IoT-based energy management, and precision robotics

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    1-s2.0-S2772783124000268-main.pdf (14.03Mb)
    Date
    2024-12-01
    Author
    Rehman, Anis Ur
    Alamoudi, Yasser
    Khalid, Haris M.
    Morchid, Abdennabi
    Muyeen, S. M.
    Abdelaziz, Almoataz Y.
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    Abstract
    Modern agricultural practices encounter challenges related to operational efficiency and environmental effects. This prompts a demand for innovative solutions to foster sustainability in farming while emphasizing the limitations of conventional farming methods. To address these challenges in modern agriculture systems, this research proposes a comprehensive framework for smart farming. The proposed framework comprises of three technology integrations: 1) an efficient integration of renewable energy resources (RERs) with solar panels and battery energy storage systems (BESS), 2) an IoT-based environmental monitoring for precision irrigation, and 3) an android application-controlled precision robotic system for targeted chemical application. The proposed framework investigates a case study on Sharjah, United Arab Emirates (UAE) to explore and analyze optimal scenarios of multiple energy resources. Results demonstrate successful cross-prototype integration through the Blynk IoT platform providing users with a unified interface. Furthermore, the results provide a comprehensive analysis and investigation into the interactions between RERs and the grid across various combinations. The findings indicate the potential of this framework to revolutionize agriculture and thus offer a sustainable, efficient, and technologically advanced approach. It also represents the contribution of a complete solution to modern agricultural challenges presenting tangible results for a promising future in smart and sustainable farming practices.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85201509783&origin=inward
    DOI/handle
    http://dx.doi.org/10.1016/j.cles.2024.100132
    http://hdl.handle.net/10576/61934
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    • Electrical Engineering [‎2821‎ items ]

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