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徑向基函數(shù)網(wǎng)絡(luò)與WebGIS融合的蘋果病蟲害預(yù)測(cè)
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    摘要:

    以ArcIMS為二次開發(fā)平臺(tái),開發(fā)了基于Java技術(shù)和MVC架構(gòu)的蘋果病蟲害預(yù)測(cè)預(yù)報(bào)系統(tǒng)平臺(tái),,在建立了20余種蘋果病蟲害預(yù)測(cè)模型的基礎(chǔ)上,,采用動(dòng)態(tài)數(shù)據(jù)交換技術(shù)(DDE)實(shí)現(xiàn)了GIS分析功能與病蟲害預(yù)測(cè)模型的集成,;具有空間數(shù)據(jù)和屬性數(shù)據(jù)的分析處理,、蘋果病蟲害預(yù)測(cè)預(yù)報(bào),、WebGIS信息發(fā)布等功能,;可以通過地圖或?qū)n}圖,、數(shù)據(jù)表格,、圖形或文字等多種形式預(yù)測(cè)預(yù)報(bào)蘋果病蟲害發(fā)生時(shí)間和發(fā)生程度,。以蘋果山楂葉螨為例,詳細(xì)闡述了系統(tǒng)中徑向基網(wǎng)絡(luò)模型的構(gòu)建,,該模型的測(cè)試準(zhǔn)確率為87.5%,,高于BP神經(jīng)網(wǎng)

    Abstract:

    絡(luò)的75%。A forecast system of diseases and pests for apple orchards was developed by using MVC structure with Java support based on ArcIMS. The forecast model, which could predicate 20 kinds of the diseases and pests, was integrated with spatial analyses of GIS by dynamic data exchange (DDE). The system can be applied to analyze spatially and temporally, forecast the diseases and pests, and promulgate the information with WebGIS. The forecasting of the regions and infection tendency of diseases and pests can be revealed with several patterns, such as map filled with different colors, topic graph, data table, text, or figure. Additionally, for instance of Tetranychus Viennensis in apple orchards, the predicting model constructed with radial basis function neural network (RBFNN) was purposed in this paper, and the predicting results were compared with those of backpropagation (BP) neural network model. 

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李麗,李道亮,周志堅(jiān),張銀,傅澤田.徑向基函數(shù)網(wǎng)絡(luò)與WebGIS融合的蘋果病蟲害預(yù)測(cè)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(3):116-119.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(3):116-119.

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