The ML4Milk project "Development and validation of massive data processing techniques for the optimisation of the performance of production processes and the quality of the final product in the dairy sector and its value chain" has the general objective of increasing production performance, milk quality and the quality of the final dairy products by improving the operating conditions on the farm and processing in the factory through machine learning techniques.
The project will lead to the development and validation of a massive data monitoring and analysis platform for the dairy sector to optimise process variables based on IoT sensorisation of processing conditions, both on-farm and in the factory environment.
ML4Milk receives funding from the 2021 call of the support programme for Innovative Business Groups (AEI) of the Ministerio de Industria, Comercio y Turismo and is coordinated by the Clúster Alimentario de Galicia (Clusaga).
The companies Casa Grande de Xanceda S.L., Glaücor Ingeniería S.A., Queizuar S.L. and TripleAlpha Innovation S.L., all of them members of Clusaga, participate in the project as partners.
Objectives of ML4Milk
- To study the potential impact of different critical farm and process variables on business KPIs and to select those key factors to increase the productivity of milk and its by-products, as well as their final quality.
- Define the BATs (Best Avaliable Technologies) that allow monitoring the selected variables and automate the collection of the necessary data for their management in real time at a low cost.
- Develop new forms of management, analysis and visualisation of the data and main KPIs generated on farms and in production processes that allow producers and processors to optimise decision-making.
