El-Aabssi et al. (2025) Integrating Intelligent Irrigation Systems Across Morocco’s Cultivated Spaces: A Strategic Assessment for Sustainable Water Management

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Identification

• Journal: Springer Link (Chiba Institute of Technology)
• Year: 2025
• Date: 2025-12-19
• Authors: Anass El-Aabssi, Abdelhadi Assir
• DOI: 10.1051/e3sconf/202568000033/pdf

Research Groups

• Not specified in the provided text (Focuses on Moroccan agricultural modernization and national initiatives).

Short Summary

This study evaluates the implementation of Intelligent Irrigation Systems (IIS) across four Moroccan agricultural sectors, identifying traditional open-field farming as the priority area for achieving water savings of up to 70%.

Objective

• To assess the suitability, technological compatibility, and socio-economic feasibility of Intelligent Irrigation Systems (IIS) across diverse agricultural categories in Morocco to mitigate water scarcity.

Study Configuration

• Spatial Scale: National level (Morocco), covering protected agriculture, traditional open-field farming, urban agriculture, and natural ecosystems.
• Temporal Scale: Not specified (focused on current infrastructural readiness and future scalability).

Methodology and Data

• Models used: Crop evapotranspiration (ET) modeling and machine learning-based soil moisture prediction.
• Data sources: Meteorological data, agricultural land-use statistics, and a multi-criteria evaluation framework (infrastructure, technology, economy, environment, and social impact).

Main Results

• Traditional open-field farming accounts for 85% of Morocco's cultivated area and consumes 70% of its irrigation water.
• The application of precision irrigation technology in traditional farming can lead to water savings of up to 70%.
• While protected agriculture shows the highest technical readiness for IIS, traditional open-field farming offers the most significant potential for national-scale water conservation.
• A proposed scalable architecture integrates meteorological data and machine learning to enable intelligent drip irrigation in typical agricultural settings.

Contributions

• Identifies traditional open-field farming as the most impactful sector for digital agricultural modernization in water-scarce regions.
• Proposes a specific system architecture for scaling IIS that combines real-time meteorological data with predictive soil moisture modeling.
• Provides a strategic evaluation framework for transitioning from traditional methods to sustainable digital agriculture at a national level.

Funding

• Not specified in the provided text.

Citation

@article{ElAabssi2025Integrating,
  author = {El-Aabssi, Anass and Assir, Abdelhadi},
  title = {Integrating Intelligent Irrigation Systems Across Morocco’s Cultivated Spaces: A Strategic Assessment for Sustainable Water Management},
  journal = {Springer Link (Chiba Institute of Technology)},
  year = {2025},
  doi = {10.1051/e3sconf/202568000033/pdf},
  url = {https://doi.org/10.1051/e3sconf/202568000033/pdf}
}

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