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Significance of AI in Smart Agriculture: Methods, Technologies, Trends, and Challenges

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Artificial Intelligence for Sustainable Development

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

The idea of “smart agriculture” is still relatively new, but it refers to the use of modern technology to provide information about agricultural areas and then take appropriate action based on feedback from consumers. It combines important information and communication technology with sensor technologies to provide effective and efficient agricultural services. A wide range of cutting-edge technologies, such as cloud computing, robotics, drones, artificial intelligence, and wireless sensor networks are used in smart agriculture. Utilizing such technologies in intelligent agriculture may enable all agricultural stakeholders to make better managerial choices that will boost productivity. The deep fusion of modern information technology and conventional farming has resulted in the era of agriculture 4.0, sometimes referred to as smart agriculture, which promotes automation and intelligence. In this article, a survey of smart agriculture is focusing on various processing techniques in smart farming. The article also provides an overview of different technologies that are integrated with farming to make agriculture smarter. Finally, some general security issues and solutions are also mentioned in this paper.

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Authors and Affiliations

  1. Centre for Future Networks and Digital Twin, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Anandakumar Haldorai

  2. Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Babitha Lincy R, Suriya Murugan & Minu Balakrishnan

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  1. Anandakumar Haldorai
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Haldorai, A., R, B.L., Murugan, S., Balakrishnan, M. (2024). Significance of AI in Smart Agriculture: Methods, Technologies, Trends, and Challenges. In: Artificial Intelligence for Sustainable Development. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-53972-5_1

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  • DOI: https://doi.org/10.1007/978-3-031-53972-5_1

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