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Study On Irrigation Method Of Tomato Cultivation In Greenhouse Based On Variable Universe Fuzzy Theory

Posted on:2019-05-12Degree:MasterType:Thesis
Country:ChinaCandidate:N XieFull Text:PDF
GTID:2393330548476875Subject:Software engineering
Abstract/Summary:PDF Full Text Request
As the number of rural greenlhouses in China continues to climb,the economic benefits and convenience brought about by greenhouse planting are obvious to all.However,the existing problems have become increasingly prominent,especially with respect to irrigation water use.The current implementation strategy of greenhouse irrigation lacks consideration of the actual water demand of crops and lacks of dynamic adaptability.The core control algorithm,due to the complexity of the environment in the greenhouse is not easy to predict,with non-linear,hysteresis and other characteristics,which makes the implementation of the control there is a low control accuracy,system error and other issues,serious waste of water resources,can't Reflects the advantages of greenhouse farming.Therefore,the optimization and improvement of greenhouse irrigation control methods can effectively improve the utilization of water resources while reducing manpower and material resources,and is of great significance to improving the waste of agricultural water resources in China.In order to improve the efficiency of agricultural irrigation water use,greenhouse tomato cultivation as the research object is studied in this paper.The optimization and improvement of greenhouse irrigation control methods are carried out in two parts:the implementation strategy of irrigation and the core control algorithm.Firstly,based on the experience of planting agricultural experts and actual planting conditions,a dynamic polynomial fitting algorithm based on weights was proposed to construct the water demand model for tomato growth.Then the required water model was combined with the irrigation deficit adjustment theory,and a reasonable irrigation threshold was selected to complete the design of greenhouse tomato irrigation strategy.Next,the existing problems of the existing variable domain fuzzy improved algorithm are introduced.Based on this,a variable universe fuzzy control algorithm based on dynamic change domain is proposed,and the simulation contrast experiment of the algorithm is completed at the same time.Finally,an experimental platform was set up to conduct irrigation experiments on the proposed irrigation control methods,and the results were summarized and analyzed.Through the simulation and comparison experiments,the superiority of the proposed variable domain fuzzy control algorithm based on dynamic change domain in response time,control accuracy,disturbance resistance and robustness was verified;The practicality of the irrigation control method and its superiority in water saving provide a new idea for accurate intelligent irrigation in the greenhouse.
Keywords/Search Tags:Greenhouse tomato cultivation, Dynamic polynomial fitting, Irrigation strategy, Improved variable universe fuzzy algorithm
PDF Full Text Request
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