Abstract
An optimal management model of agricultural crop production is proposed. The model employs a numerical crop growth simulation module based on AquaCrop developed by FAO and optimization scheme for the combination of crop species to be planted. The crop model is calibrated for soy beans, wheat, potato and sugar beet in Shibetsu, Hokkaido and computes the biomass at daily basis based on growing degree day index and transpiration. The optimization module searches the best combination of the crops to maximize the total crop yield or to minimize the yield deficit with penalty coefficient. The solution search is done in heuristic way by using genetic algorithm.
