KHELLOUF Mohammed Islam, TEBAA Mohammed Amine
This study explores the design and implementation of an intelligent irrigation system, aiming to optimize agricultural water use. The objective is to develop a system that efficiently monitors soil moisture levels and water availability while ensuring crop health. The methodology includes the integration of various sensors for soil humidity and water level detection, alongside a detailed analysis of current irrigation techniques. This project employs software for system modeling and simulation prior to physical implementation. Results indicate that the intelligent irrigation system significantly reduces water consumption compared to traditional methods, showcasing improved crop yields and sustainability. Key findings demonstrate the potential of intelligent systems in agricultural practices, emphasizing the impact on resource management and environmental conservation. The research highlights the importance of integrating technology with agricultural practices to address growing water scarcity and enhance food security.
@article{db6f4732-ae3d-468e-b0da-0afad324aa60,
title={IRRIGATION INTELLIGENTE},
author={KHELLOUF Mohammed Islam and TEBAA Mohammed Amine},
year={2026},
language={en}
}TY - JOUR TI - IRRIGATION INTELLIGENTE AU - KHELLOUF Mohammed Islam AU - TEBAA Mohammed Amine PY - 2026 LA - en ER -
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