Establishment Of Greenhouse Tomato Growth Model And Determination Of Parameters

Greenhouse crop simulation model is an effective tool for environment management and optimal control. It is of great importance to greenhouse production. Based on the study of greenhouse tomato, several experiments were designed to research relationship between NPK uptake and crop growth. Then, a greenhouse tomato growth model was established and its relevant parameters were determined. At last, the model was validated by two follow-up growing seasonal experiments. After the model was regionalized in different areas, potential productivity of greenhouse tomato in China was analyzed, and the output risk was also assessed. Finally, a web-based greenhouse tomato growing system was designed by the use of Asp.net technology. The main contents and results of this study were as follows:1. A greenhouse tomato growth model was established and the relevant parameters were determined with follow-up experiments. For the model, environmental data and amount of fertilizer was needed to input, the output results were tomato growing period, dry and wet weight of different organ and yield. This model includes sub modules of absorption of nutrients, growth period, photosynthetic absorption, respiratory consumption, dry matter production and distribution, dry matter weigh etc. The results showed that this model can be a very good simulation about the growth of greenhouse tomatoes.2. After the model was validated in different region, potential productivity of greenhouse tomatoes was forecasted. In order to test the model, ten sites were selected in China, and meteorological data of greenhouse was collected by the'agricultural environment wireless real-time remote monitoring system'which developed by our lab members, fertilization data were surveyed in field. Then, tomato production was simulated by the model. The model was validated by comparing simulative yield and actual yield. And then the model was used to predict the potential productivity in China, the results showed that the maximum productivity of the potential greenhouse tomato appeared in Tibet region, and the lowest appeared in Sichuan, Chongqing and the northern region of Heilongjiang.3. Greenhouse tomato yields about different climate risks were assessed by this model. By the standard of annual average illumination about natural light, China could be divided into five districts, districtâ… mainly included Tibet and Qinghai.â…¡Inner Mongolia.â…¢northern, Guangdong, Guangxi, Hebe and Shandong.â…£Jilin and middle of the Yangtze River region.â…¤Chongqing and Heilongjiang. And then the model was used to simulate the photosynthetic output in the above five regions, production risks were analyzed in different light districts. The results showed that in the same yield, districtâ… met the lowest risk,â…¤met the highest risk. For the same risks, districtâ… met the highest yield,â…¤met minimum yield.4. A Web-based greenhouse tomato growth and development simulation model system was designed. The system designation was regulated by Asp.net technology. When greenhouse environmental factors and fertilization were inputted by users from the client browser, the model could be run and outputted simulation results. The maintenance and upgrading work could be accomplished on the server side. It was convenient to the model update escalation, as well as large-scale use and rapid popularization.