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Research Article | Open Access |

A Conceptual Framework for Agricultural Water Management Through Smart Irrigation

Author 1: Abdelouahed Tricha Author 2: Laila Moussaid Author 3: Najat Abdeljebbar
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 15, No. 12 · Published 2024

DOI: https://doi.org/10.14569/IJACSA.2024.0151262

Abstract

The demand for freshwater resources has risen significantly due to population growth and increasing drought conditions in agricultural regions worldwide. Irrigated agriculture consumes a substantial amount of water, often leading to wastage due to inefficient irrigation practices. Recent breakthroughs in emerging technologies, including machine learning, the Internet of Things, wireless communication, and advanced monitoring systems, have facilitated the development of smart irrigation solutions that optimize water usage, enhance efficiency, and reduce operational costs. This paper explores the critical parameters and monitoring strategies for smart irrigation systems, emphasizing soil and water management. It also presents a conceptual framework for implementing sustainable irrigation practices aimed at optimizing water use, improving crop productivity, and ensuring cost-effective management across different agricultural settings.

Keywords

How to Cite this Article

Tricha, A., Moussaid, L., & Abdeljebbar, N. (2024). A Conceptual Framework for Agricultural Water Management Through Smart Irrigation. International Journal of Advanced Computer Science and Applications, 15(12). https://doi.org/10.14569/IJACSA.2024.0151262

Tricha, Abdelouahed, et al.. "A Conceptual Framework for Agricultural Water Management Through Smart Irrigation." International Journal of Advanced Computer Science and Applications, vol. 15, no. 12, 2024, https://doi.org/10.14569/IJACSA.2024.0151262.

@article{Tricha2024,
  title     = {A Conceptual Framework for Agricultural Water Management Through Smart Irrigation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {12},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Abdelouahed Tricha and Laila Moussaid and Najat Abdeljebbar},
  doi       = {10.14569/IJACSA.2024.0151262},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151262}
}

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