AI to detect soil water response

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The innovation and research laboratory of the Barcelona Faculty of Computer Science (inLab FIB) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) collaborated with ModpoW, a company specialised in wireless technologies, sensors and general electronics, to create a solution that optimises water and fertilizer usage in agriculture. This solution, which can potentially save over 30% of annual water and fertilizer consumption, monitors underground water data to draw up an irrigation recommendation for farmers, according to the real-time conditions of each plot.

To achieve this, inLab FIB developed a machine learning model that can detect the phases that occur naturally and at various depths when a field is irrigated. These phases are identified using data obtained from soil water content sensors installed by ModpoW at various depths in the fields.

The project was developed in 2023.


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