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Data collection for sustainable machine learning in circular food industry/food production

Reference number
Coordinator Tebrito AB
Funding from Vinnova SEK 4 800 000
Project duration February 2023 - December 2024
Status Ongoing
Venture Strategic innovation programme for process industrial IT and automation – PiiA
Call PiiA: The Process Industry of the Future-Data-Driven and Sustainable - Autumn 2022

Purpose and goal

By 2050, global food production will need to increase by 70% to meet the needs of the growing world population (FAO, 2021). A circular food production is a prerequisite for meeting the increased needs for food in Sweden and the world. The project aims to create a common standard for data collection and subsequently ML (Machine Learning) models for streamlining circular food production.

Expected effects and result

The project is expected to increase domestic self-sufficiency through the implementation of self-learning systems. Streamlined, circular food production has the potential to become a massive industry with enormous positive impact on welfare and the environment.

Planned approach and implementation

Preliminary study/report A structure for a quality-assured data topology is developed. The report will show how different data should be structured, handled and stored in order to easily digitize an industry. Pilot installations Pilot installation of a data warehouse with pre-processing that can identify deviations through ML. Prototype A prototype based on ML that can optimize various processes, for example resource or cost optimization, is developed.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 8 March 2024

Reference number 2022-03593

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