Design And Implementation Of Water And Fertilizer Decision Support System Based On Model Base

Water and fertilizer integration technology is a precision agriculture technology that combines fertilization and irrigation,and is one of the important technologies for the development of modern agriculture.At present,a lot of research and development work has been carried out on the integration of water and fertilizer technology,but there is still a lack of integrated solutions for different crops in different regions,and the degree of system intelligence is low.In order to improve the precision management quality and intelligent level of crop fertilization,this article takes the intelligent fertilization of various crops as the research object,in-depth investigation of agricultural production needs,with the help of Internet application platforms,based on intelligent decision-making,knowledge engineering,agricultural models and automatic model selection,etc.Technology,according to the fertilization needs of different crops in different regions at different growth stages,designed and developed a water and fertilizer decision support system based on the model base.This article focuses on the research on the decision-making of fertilization and fertilization.The main contents include:(1)In order to meet the needs of precise fertilization for multiple crops in different regions,an intelligent water and fertilizer decision-making model base and a fertilization and fertilizer model were analyzed and designed.Investigated the current water and fertilizer decision-making system and crop fertilization model research,analyzed the basic functional requirements and characteristics of the intelligent water and fertilizer decision-making model base,designed the model base architecture,and realized the dynamic management of the model based on dynamic language and database technology.The model has the characteristics of a common base class,a common interface is designed for different models,and the construction of the model base is completed.Based on the nutrient balance method,a crop fertilization and fertilization model was constructed.The fertilization model of different crops and different regions was realized through specific parameter configuration.The fertilization model was constructed using unconstrained multivariate equations,and the agricultural production data was analyzed and compared with experiments,verified the effectiveness of the fertilization model.(2)In order to improve the flexibility and intelligence of the existing water and fertilizer decision support system,a knowledge-based fertilization model automatic selection function was designed and realized.It is difficult for users to choose a suitable model to solve specific needs.According to the characteristics of user needs,the knowledge of the selected model is extracted,and the model selection knowledge is expressed and stored in the knowledge base using frame representation.The local optimization search algorithm is combined to perform inference analysis on the automatic selection process of fertilization model.The automatic selection function of the nutrient balance model is instantiated and analyzed to verify the effectiveness of the method,which can effectively reduce the difficulty for ordinary users to select the model.(3)Based on demand analysis and system design schemes,a water and fertilizer decision support system based on the model library was constructed,which realized the various functions of the system,and focused on the decision of fertilization and fertilization,combined with the maize fertilization data of Liaoning Province,conducted experiments and analysis,and the experimental results were consistent The actual situation of agricultural production verifies the effectiveness and practicability of the system.The intelligent water and fertilizer decision-making system based on the model library realizes the management of agricultural resource information of multiple types of crops and the precise management of fertilization in different regions and different growth stages,which will improve the utilization rate of water and fertilizer and crop yield,and improve the level of information management and fertilization decision-making Ability,has good application value.