The Study Of Web-Based Autoanswering Expert System Of Plant Nutrition Diagnose

Nutrition elements are one of the key factors in crop growing period. Crop showsspecial symptoms while lacking of essential elements or excessive. Those appearances ofsymptoms are important indicators to the crop nutritional status, which can helpunderstanding nutrition elements, are normal or not. At present, Chinese farmers havefewer agricultural knowledge and lack of correct guidance by experienced expert aboutplant nutrition diagnosis. They can't judge the right condition and fertilize timely andpertinently. So we develop the web-based auto answering expert system of plant nutritiondiagnose, which integrate modern computer technology, network technology, database,automatic segmentation, and traditional agricultural knowledge.We adopt expertise and literature knowledge as two main knowledge acquire methods,based on discuss of knowledge acquisition and knowledge representation method, alsobased on analysis of plant nutrition function law and inherent features. We choose 286typical symptoms as system knowledge databases, after collected large amount of cropsymptoms knowledge. It covers common kinds crop. We bring forward the objectivecriteria sets: 1) 12 objective standards of symptoms of elements defect, 2) Apparentsymptom of plant, plant apparatus and leaf, diagnose search index 3) We use SQLServer2000 as database platform to analyse the physical design and logic design.We set up the PDCWSM (Plant Diagnose Chinese Word Segmentation Model) whichis adopted in the filed of plant nutrition diagnose. Judged by the accuracy and reliabilityjudgment, we use bidirectional scanning as main segmentation method and searchingword-by-word as secondly method. The segmentation accuracy is 95% for typicalsymptoms and 80-85% for untypical symptoms, which basically match the needs of thesystem requirement.An optimization dual model was developed to minimize cost over CompoundFertilizer and was described, which based on system diagnose results. The model wasused to illustrate the bidirectional effects of both raw material and constraints; especiallywhen the price of raw material was changing hotly. The most economic formulations werecalculated by Lindo 6.0. The reason of raw material unadopted was that their effective components were not match to price by Reduced cost analysis. The influence of adoptiveraw materials was discussed through Sensitivity analysis, and the phosphorus was themost sensitive factor in actual formulations. The sequence of main three elements'shadow price was K＞P＞N, which indicated the Potassium influenced the total costmostly.