Smart Agriculture System project aims to design an original system modeling, simulation, prediction performance and aid to decision agricultural stakeholders: farmers, advisors, seed companies, processors. The final goal is to lead to improved efficiency of inputs for a given performance target (quantity and quality) through optimized modulation inputs (corn crop). The objective of this project is the development of a new decision system to conduct wheat production. The idea is to combine real-time field data (biomass, soil, yield map ...) with a dynamic growth model while providing imaging guarantees for key stages regardless of the weather.