FARMŸNG:
FlAgship demonstration of industrial scale production of nutrient Resources from Mealworms to develop a bioeconomY New Generation
The project, funded in the frame of Horizon 2020 Public-Private Partnership Bio-Based Industries Joint Undertaking (topic BBI.2018.F2 – Large-scale production of proteins for food and feed applications from alternative, sustainable sources) aims to establish the largest global fully-automated flagship industrial plant to produce premium proteins from insects (Tenebrio Molitor) for animal nutrition.
READ MORE ABOUT THE PROJECT05/10/2020
FARMYNG project sponsored and participated in IFIB2020, the International Forum on Industrial Biotechnology and Bioeconomy, which was held in Rome, from 1st to 2nd of October 2020, and gathered Universities, R&D companies, service and consulting agencies, biotech industry, start-ups and bio-based research projects. The project was presented during the online poster session organized in the framework of the [...]
21/09/2020
FARMŸNG will sponsor IFIB 2020, the International Forum on Industrial Biotechnology and Bioeconomy, which will take place in Rome, from the 1st to the 2nd of October 2020. The project will be presented during the online poster session organized in the framework of the interesting agenda of the international conference. The event will represent an [...]
26/08/2020
FARMŸNG project consortium is working hard to reach its ambitious goal of establishing the largest global fully-automated flagship industrial plant to produce premium proteins from insects (Tenebrio Molitor) for animal nutrition. The latest updates are reported in the second newsletter: click here to read it!
02/07/2020
IAR – The French Bioeconomy Cluster interviewed Antoine Hubert of Ÿnsect, coordinator of the FARMŸNG project. He presents the project objectives and illustrates the expected impacts : watch the video interview!
The FARMŸNG Consortium comprises 20> partners from 8 countries with strong multidisciplinary competences required for carrying out the work plan and match project objectives.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 837750