Research On Development Of Corn Production Decision System

Decision Support System is one kind of high-quality computer information system,it takes the management science, the operations research, the control study and the behavioral science as the foundation, take the computer technology, the emulation technique and the information technology as the method,assist deciders carries on half structurized or the non-structurized decision-making by the man-machine interaction way, has certain intelligent behavior man-machine interaction the computer application system. This system can provide the analysis question, the model building, the simulation decision-making process and the plan environment for the policy-maker, helps to be clear about the policy-making goal and to carry on the question the recognition, the establishment or the revision decision model, provides each kind of alternative plan, and carries on the appraisal to each kind of plan and optimal, carries on the analysis, the comparison and the judgment through the man-machine interaction function, provides the essential support for the correct decision-making.With the popularity and development of internet technology,the single-machine ofthe expert system is no longer suited to network application environment.It is a majortrend that the decision support system launched the internet version has been researched..The research object of this system is corn of jilin province,and the goal of this system is to achieve high yield,good quality,high efficiency of rorn production,integrated knowledge and experiments of corn cultivation,plant protection,soil fertilizer,agricultural ecology.etc.field experts,adopted multidisciplinary crossing and organic combination,combine information experts and agronomy experts , and construct it by from macro to micro,qualitative to quantitative. This system combine qualitative analysis of system and quantitative analysis of decision support system,overcome their limitations and play their advantages respective,with logic reasoning judgement,decision-making ability and higher accuracy and reliability. The system uses the B/S pattern, uses the ASP.NET technology, 2005 carries on the onstage Web page's design and the dynamic homepage development with the aid of Visual Studio, uses SQL SERVER 2000 to carry on the backstage database the management.The system has mainly studied on two aspect contents: fertilizer application and disaster diagnosis. Variable Rate Fertilization is an important way of utilizing this kind of technique. The traditional fertilizer application in our country is based on experience of farmers. A lot of fertilizer can not be absorbed by plants due to extra fertilizer,and the extra fertilizerwould pollute environments. This doesn tmeetthe needs of agricultural modernization of our country. Therefore changing the traditional way of fertilizer application is imperative for sustainable development. Uses the classical statistics method processing soil nutrient information base on Determine the content of N,P,K. Take the corn as the object of study, take the output as the target, through the field test, has established its and in the fertilizer factor and so on between nitrogen, phosphorus, potassium quantification mathematical models. To the fertilizer effect function's analysis result which obtains indicated that between various fertilizers factor and the output has the quadratic function relations. This function may to apply fertilizer the decision-making to provide the basis. In corn production process a very important part is to put plant diseases of corn under control well in produceprocess. Due to numerous plant diseases of corn which are harmful for the crops and sometimes bring devastation to them and the farmers' little knowledge about plant diseases or mixing up the types of the plant diseases sometimes and no a just-in-time and effective treatment programme and no timely services and few experts on corn,the technical staff,when to diagnose,treat and control the plant diseases correctly for the farmers of the corn crops areas ,have met great difficulties. The key function of this is diagnosis which is difficult to realize and the diagnosis mechanism is on the strength of characteristics,significant to identify, which are sieved out of the symptoms of plant diseases of each part of the corn. When diagnosing by the symptoms of plant diseases, fuzzy reasoning method is used, employing model and algorithm. When using information of pathogens to diagnose, precise reasoning method are considered. This system could provide not only the conclusions of diagnosis but also the prevention and cure method and onset regularity of corresponding diseases. What's more, the explanations of conclusions and the synthetic symptoms could also be reached. The function of query,inverse process of diagnosis, can search for the denominations and other information about the. plant diseases in a corresponding way.In this paper, the system structure was analyzed and researched,the core components of DSS was confirmed and the implementive way of Problem Synthetic and Interactive System,MB,DB and Inference Engine was analyzed and designed. Rich content of knowledge base,combining sound,pictures,words.The knowledge in base come from agricultural field experts,and demonstrated again and again,selected and integrated,rich and full-scale knowledge and deserve believing,encoded by professional engineers,with high structure degree and utilization efficiency.Knowledge base is combined qualitative reasoning and quantitative compute,and integrated pictures,flash,video and lot of kinds hypermedia knowledge,form of representation expression flexible,vivid. By analyzing and extracting of the results of research on corn cultural theories and technologies, a growth model and a knowledge model for maize management have been developed using the system's analysis principle and mathematical modeling technique, and which are driven by dynamic relationships and quantitative algorithms of maize growth and management indices to variety traits, eco-environments and production levels.It is very convenient to save and manage files by using relational database technology to replace the traditional database system. The model database structure is analyzed, the model dictionary' s function and organization are illustrated,the form structure is edsinged,the management function of model database is studied The man一machine interface of the system are maturely human 一based,users are not to be trained and could use this system directely because that the manipulation for this system is very easy and extremely convenient.The application and development of agriculture decision system is a key route to accomplish the informationization and modernization of agriculture. On the basic of analysing the application of agriculture decision system and the developmental tempo and considering the agricultural present situation and the characteristics of the plant diseases of Jilin province ,the knowledge of plant diseases has been systematic collatived and studied in depth, and then a system to efficiently combine the computer technology with the decision system and the plant protection of corn begins, at the same time,the decision system to diagnose and inquire about corn of Jilin province on the basis of network start to be constructed. By sharing konwledges of the relative domains through this system, a few experts on plant protection of corn is not a problem, and the integrated control of the plant diseases of the corn will be improved .What' s more,it' s significant that the transform of the findings of science and technology will speed up.