水稲栽培における予測とその応用

抄録

The aim of this study is to design the cultivation environment scenario in the rice plant cultivation. The use of the neural network determines the prediction model which predicts the yield and the quality of the rice from the environmental scenario. The objective function, which is defined from the yield and the quality, is maximized by changing the scenario of the daily average temperature. The result shows that the temperature before the heading date in Nagoya is too high for the rice Oryza sativa ’Koshihikari’.