Plant’s physiological process model by soft computing technology

The one direction of agricultural modernization is rigorous control environment of plants growth. It is a good idea to control greenhouse environment basing on the plantpsilas physiological responses. But the usable plant growth model is scarce and difficult to attain. A MI-SO soft computing model is developed that could predict total photosynthesis of cucumber canopy depending on the temperature, the light intensity, the carbon dioxide concentration, and the area and configuration of leaf. The simulation result of the model is inspirer and accord with the rules of crop growth and the knowledge of agricultural expert. The output of the soft computing model is compared with the experiment data from experimentation greenhouse in Shanghai Agricultural Science Academe. The result is exciting and gives an r² value of 0.943. So designed the soft computing model is logical and usable.