Particle swarm optimization for designing ideotypes for sustainable production systems
Résumé
Agricultural systems have to adapt, in a changing climatic context, to face the growing social demand in terms of organoleptic, nutritional and environmental quality of food products. Thus, a crucial question for the future is how to manage fruit quality by finding the best combinations of genetic resources and cultural practices adapted to, and respectful of specific environments. This question was addressed using a particle swarm optimization and a process-based model. The obtained results show the interest of such as approach.