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2024 | OriginalPaper | Buchkapitel

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

verfasst von : Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, Minu Balakrishnan

Erschienen in: Artificial Intelligence for Sustainable Development

Verlag: Springer Nature Switzerland

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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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Metadaten
Titel
Significance of AI in Smart Agriculture: Methods, Technologies, Trends, and Challenges
verfasst von
Anandakumar Haldorai
Babitha Lincy R
Suriya Murugan
Minu Balakrishnan
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-53972-5_1

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