Research On Growth And Development Model Of Tomato And Its Expert System Design

With the growing plant scale of solar greenhouse tomato and the pursuit ofprecise control of greenhouse environment and more economic profits, expertsystem research and simulation model for tomato plants are getting more and moreattention. This paper focuses on the two research areas: an improved simulationmodel and practical expert system. In order to verify the simulation model andexpert system, experiments are designed and conducted in the greenhouses ofChinese Academy of Agricultural Sciences.As for the simulation model for tomato development, this paper is based on theconcept of physiological development time (PDT) which is first introduced by CaoWeixing and takes PDT as the indicator to assess the impact of temperature on thedevelopment rate of tomato. In the process of establishing the simulation model,the paper proposes a new method to calculate the value of PDT and validates it bythe experiments conducted in the greenhouse of Chinese Academy of AgriculturalSciences. The results show that the improved model has better applicability todifferent varieties of tomatoes and can predict the time and duration of differentdevelopment stages with higher accuracy.With regard to the simulation model for tomato growth, this paper takesphotosynthesis and respiration as the main research areas and establishes a tomatogrowth simulation model. In order to validate the simulation model for tomatogrowth, this paper designed and conducted experiments in the greenhouses ofChinese Academy of Agricultural Sciences. The experiment results show that thesimulation model can quite correctly reflect the relationship between the growthprocess and the environment elements and is of much practical value.As regards the expert system for greenhouse tomatoes, based on the basicprinciple and structure of expert systems, this paper takes the demand of tomatocultivation and greenhouse management into consideration to design an expertsystem. In structure, the expert system designed by this paper adopts the B/Sstructure and layered design which consists of four layers. In the view of users, this expert system divides users into three types: experts, administrators, ordinary users.In function modules, the expert system is composed of three parts: the d ailymanagement function module, the disease&pest function module and date&yieldprediction function module.