Reference #32 Rabemar AgTech

Design and Deployment of an Automated Soil Hydrodynamic Parameter Monitoring and Irrigation Management System on Agricultural Plots in Benin

RABEMAR AgTech • Benin • Client: PATH / GBIOS • 12 soil-monitoring nodes

Duration04/2026 - 07/2026

CountryBénin

ClientPATH / GBIOS / Zubuko

Design and Deployment of an Automated Soil Hydrodynamic Parameter Monitoring and Irrigation Management System on Agricultural Plots in Benin

Présentation

As part of Researcher Zubuko’s doctoral thesis project, RABEMAR AgTech deployed a network of 12 nodes for PATH / GBIOS to monitor soil hydrodynamic parameters and automate irrigation across agricultural plots in Benin.

The devices regularly collect data on soil water conditions, particularly soil moisture and soil temperature. This information provides a better understanding of changes in the water status of the plots and supports decision-making related to irrigation and agricultural water management.

In addition to monitoring, the system incorporates a fully automated irrigation solution. Irrigation operations can be automatically triggered and controlled according to the soil moisture conditions recorded by the monitoring nodes and predefined irrigation thresholds. This approach helps ensure that water is supplied when required, while reducing unnecessary water use and improving irrigation efficiency.

The deployed system is based on autonomous equipment adapted to field conditions. It centralizes observations from the various monitoring points, coordinates irrigation operations, and provides usable data for agronomic monitoring, crop water requirement analysis, and the improvement of irrigation practices.

Résultats / Results

• Design and deployment of an integrated soil-monitoring and irrigation-automation system;
• Installation and commissioning of 12 monitoring nodes across the agricultural plots;
• Spatial and temporal monitoring of water conditions across the different plots;
• Definition of soil moisture thresholds for automatic irrigation activation;
• Full automation of irrigation start and stop operations;
• Centralization of data from the different measurement points;
• Reduction of manual intervention required for irrigation management;
• Limitation of excessive water application and crop water-deficit risks;
• Availability of usable data for crop water requirement analysis;
• Improved irrigation efficiency and water productivity;
• Contribution to the development of smart agriculture solutions adapted to local conditions.

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Agriculture, Energy & Innovative Technologies

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