Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science

Nathalie Perrot (1) , Nadia Boukhelifa (1) , Alberto Tonda (1) , Thomas Chabin (1) , Marc Barnabe (1) , Dominique Swennen (1) , Alice Roche (2) , Thierry Thomas-Danguin (2) , Evelyne Lutton (1)

1 GMPA - Génie et Microbiologie des Procédés Alimentaires
2 CSGA - Centre des Sciences du Goût et de l'Alimentation [Dijon]

Since centuries, agriculture, food and biological systems are strongly linked to human expertise, albeit such knowledge has been capitalized and shared often at a local level, only. Since the beginning of the last century, swept away by productivism, modern agriculture and food production have put cumulated human knowledge aside. Facing new challenges like sustainability in a changing context, holistic approaches cannot be managed “manually” ab initio and there is a clear need for computing decision-support tools to tackle these new issues. Moreover, new approaches should be built centred on humans and for humans. The heart of our purpose is to shift the focus again on human and local expertise, guided by powerful computing interactive systems.

Mots clés: machine learning; optimization; visualization; agri-food systems; interactive learning; modelling; Human expertise

Domaines: Sciences du Vivant [q-bio]

Nathalie Perrot, Nadia Boukhelifa, Alberto Tonda, Thomas Chabin, Marc Barnabe, et al.. Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science. 10. International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018. Eurosis, 2018., Apr 2018, Ghent, Belgium. pp.8. ⟨hal-02192521⟩