QLUNICO

Research for the development of a universal device for precise data collection in mixer wagons and research using QML to explore correlations between feed data, milk production, and other data sources.

Category Regional
Sectors Agriculture and Livestock, Industry 4.0
Execution Period 2024 - 2026
Funding Axencia Galega de Calidade Alimentaria (AGACAL)
Web https://www.qlunico.es/

Description

QLUNICO was created with the aim of developing a universal device (hardware plus software) that can be integrated with any type of mixer wagon, revolutionising livestock nutrition management by incorporating cutting-edge quantum machine learning (QML) to analyse and optimise feeding processes and, consequently, improve milk production.

This initiative is based on the development of a prototype to be installed on two mixer wagons from farms producing high-value milk. The device will connect in a plug-and-play mode with existing sensors and autonomously collect data to accurately, reliably, and in real time monitor the TMR (total mixed ration) and feed distribution. This will minimise current deviations between the theoretically designed ration and the actual ration prepared and consumed.

Consortium

Clun, Aldaba, ITG, Medrar, Axencia Galega de Calidade Alimentaria

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