Application of artificial intelligent on agriculture: A cellular automata like multi-agents engine for agroecosystem simulation

Abstract

This short paper corresponds to the talk given as an invited speaker during the ITaMSA 2021 conference, Bogor (Indonesia). In this short paper, the reader can find the major concepts used for the modeling and simulation of agroecosystems. On the one hand, the concept of Multi-Agents Systems is presented with the main properties of these systems. On the second hand, the foundations and the characteristics of Cellular Automata are detailed. Designing a system with a set of agents allows the modeler to focus on the interactions between entities. This type of modeling is more natural than a classical mathematical approach at the population's scale. Finally, a case study is presented. This case study is designed with a freely available tool developed at the University of Brest (France) based on a multi-agents engine with Cellular Automata facilities.