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The Agricultural Machinery Unit (UMA) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) participated in the CULTISENSOR project to design, manufacture and validate a sensing subsoiler prototype for soil decompaction. This instrument allows mapping and interpretation of the physical conditions of soil when fieldwork activities are being carried out.
The prototype has a platform to capture data so that the information collected in the field can be centralised and operations traced.
The goal was to digitalise a subsoiler, an agricultural tool capable of breaking and aerating the subsoil without overturning the topsoil layer. A subsoiler is valuable for working in areas where the soil is more compacted due to the constant passage of heavy machinery or because of natural processes. Digitalisation provides electronic control and enables mapping of the soil resistance, which is expected to be related to its compaction. Installing a pressure sensor allows variations in the oil pressure of the subsoiler's hydraulic pistons to be collected. These variations can be monitored by taking geolocated records second by second, which indirectly provides a map of the soil's resistance to advancement.
Consortium, budget and financing
The project was led by the FEMAC Cluster, with the collaboration of the INNOVI Cluster. It involved companies from the FEMAC cluster, WAATIC Company SL, JYMPA FUTURAGRO SL and AKIS INTERNATIONAL SL as developers of the technological solution, and the EUDALD MASSANA winery as an end user.
The project started in May 2023 and finished in April 2024. It was financed with funds from the Recovery, Transformation and Resilience Plan (Ministry of Industry, Energy and Tourism), within Support for Innovative Business Associations Grants, aimed at increasing the competitiveness of small and medium-sized enterprises. The budget was 19,361 euros.
Related Projects
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- Researchers from the Computer Networks and Distributed Systems (CNDS) research group at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) are developing new artificial intelligence-based solutions to obtain more accurate and reliable data from IoT sensor networks, with applications in air quality monitoring, anomaly detection and industrial predictive maintenance.
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