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Study on Greenhouse Environment Management System Based on Tomato Growth Model

Author: JiaZuo
Tutor: SunZhongFu
School: Chinese Academy of Agricultural Sciences
Course: Environmental Engineering
Keywords: Greenhouse control Environmental Management Tomato Crop models Decision support systems
CLC: S625.3
Type: Master's thesis
Year: 2009
Downloads: 153
Quote: 3
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Abstract


Facilities, agriculture is an important direction of agricultural development in the future, to improve the level of greenhouse environment control facilities for agricultural production. Greenhouse environment management to use more historical data decision-making, real-time; simple crop models support function. In order to improve the decision-making of the greenhouse environment management system performance, timely access to decision-making management dynamic information as the research object, tomato, temperature control objectives, greenhouse tomato model-based environmental management system. The content and results of this research are as follows: 1) based on the digestion and absorption of advanced research, combined with experimental research to establish a greenhouse tomato growth and development model and determine the parameters. Through the transformation of the model, making it suitable for the needs of the decision-making management, while the follow-up test model preliminary validation. The model consists of several main modules of the growth period, photosynthesis, respiration, dry matter accumulation and dry matter partitioning. The research results show that the growth and development of this model is capable of simulating tomato. 2) tomato-based model greenhouse environment parameters optimization. Through crop model simulation trials, dry matter production at near maximum allowable offset constraint calculate the optimum temperature range. Then compared with real-time monitoring data, the closest monitoring the value of the optimum temperature value shall dynamic optimal solution, and provide a more reasonable proposal for the regulation of greenhouse environment accordingly. 3) to investigate the regulation and control methods, based on crop model extends the support function of the crop model. Accumulation analysis and rule-based reasoning on the amount of radiation, light-based stress warning; front optimization algorithm and knowledge and experience, considering the temperature trend dynamic decision-making, decision-making more scientific and rational support information; daily dry matter actual analog value and the maximum analog value statistical analysis of the differences in the production of the crop model diagnostics, user-friendly summary of the law, and the accumulation of experience. 4) agricultural environment, real-time monitoring data, to improve the timeliness and relevance of the system management, remote decision management. Comprehensive utilization of model predictions and knowledge reasoning greenhouse environmental management optimization, using the Visual Basic6.0 programming tools and Access database technology to establish a greenhouse tomato model-based environmental management system. The system has a crop growth dynamics simulation, environmental management decision support, and conventional technology consulting a variety of functions, greenhouse climate environment to optimize control and production management to provide more comprehensive services and guidance for small time scales. Greenhouse environment management model based on the crop, its reliability is largely dependent on the accuracy of the model simulation. By the study conditions, time constraints, the paper model still need to continue to improve, and the simulation results are also subject to further examination. In addition, the system itself should be continually subjected to the test of practice and continue to evolve in practical applications.

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CLC: > Agricultural Sciences > Gardening > Horticultural ( protected cultivation ) > Greenhouse > Greenhouse Equipment
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