Applications of Artificial Intelligence in Precision Irrigation

Authors

  • Ahmed Elshaikh

    Water Research Center, Faculty of Engineering, University of Khartoum, Khartoum, 11115, Sudan
  • Elsiddig Elsheikh

    Department of Applied Biology, College of Sciences, University of Sharjah, Sharjah, P. O. Box 27272, United Arab Emirates
  • Jamal Mabrouki

    Faculty of Science, Mohammed V University in Rabat, Rabat, 6430, Morocco

DOI:

https://doi.org/10.30564/jees.v6i2.6679
Received: 23 May 2024 | Revised: 14 June 2024 | Accepted: 17 June 2024 | Published Online: 16 July 2024

Abstract

This paper provides an overview of the various applications of Artificial Intelligence (AI) in precision irrigation. It covers key research areas, methodologies, challenges, and future prospects in the field. The methodology is based on exploring how AI technologies are being used to optimize water management in agriculture and examines the growing body of research on the application of AI in irrigation systems. Deep investigation was conducted to explore how AI technologies can enhance water management in agriculture, leading to improved water management and crop yield in addition to resource efficiency. The paper discusses AI-based methods for monitoring soil conditions, weather forecasting, and real-time decision-making in irrigation. However, integration of AI systems with existing irrigation infrastructure and farming practices can be challenging, requiring significant investment in hardware and software.

Keywords:

Artificial Intelligence (AI); Irrigation; Agriculture; Data

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How to Cite

Elshaikh, A., Elsiddig Elsheikh, & Jamal Mabrouki. (2024). Applications of Artificial Intelligence in Precision Irrigation. Journal of Environmental & Earth Sciences, 6(2), 176–186. https://doi.org/10.30564/jees.v6i2.6679

Issue

Vol. 6 , Iss. 2 (July 2024): In progress

Article Type

Review (This article belongs to the Topical Collection "Innovation, AI and advanced technologies for earth and environmental sciences")

License

Copyright © 2024 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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