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基于WebGIS的農(nóng)業(yè)病蟲害預(yù)測預(yù)報(bào)專家系統(tǒng)
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Expert System Based on WebGIS for Forecast and Prediction of Agricultural Pests
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    摘要:

    以開源版MapGuide為WebGIS二次開發(fā)平臺(tái)，結(jié)合.net技術(shù)開發(fā)了具有B/S三層網(wǎng)絡(luò)架構(gòu)的農(nóng)業(yè)病蟲害預(yù)測預(yù)報(bào)專家系統(tǒng)。依循專家經(jīng)驗(yàn)預(yù)測方法構(gòu)建病蟲知識庫，知識存放于SQL Server 2000數(shù)據(jù)表中，病蟲害種類按照地理區(qū)域劃分，各表所包含的病蟲害影響因子描述、特征臨界值、判別條件組合以及發(fā)生等級間構(gòu)成一種網(wǎng)狀模型。系統(tǒng)采用基于知識的前向型推理與基于系統(tǒng)案例推理相結(jié)合的方式。用戶依據(jù)系統(tǒng)的向?qū)教崾疽约皵?shù)據(jù)輸入規(guī)范輸入病蟲害監(jiān)測數(shù)據(jù)，系統(tǒng)將病蟲害發(fā)生程度以GIS專題圖、數(shù)據(jù)圖表及文字等多種方式反饋給用戶。實(shí)際運(yùn)行結(jié)果表明，該系統(tǒng)操作性強(qiáng)，預(yù)測結(jié)果可靠直觀。

    Abstract:

    Based on the MapGuide module of WebGIS and .net technology, the expert system for prediction and forecast of agricultural pests on the Web was designed and developed. The pest categories were bio-regionalized in the system. The experts’ knowledge, abstracted from their experiences and including the description of the knowledge, the critical values for the description, terms for distinguishes, and the grade of pests harm, formed a Web model and was stored in tables supported by SQL Server 2000. Expert-knowledge-based forward reasoning and case-based reasoning (CBR) were employed in the inference engine. Users can provide the necessary field-monitoring data to the system with the wizard and the guide of hint in the interface, and can get the potential grade of pests harm in GIS thematic map, chart and text. The demonstrations show that the system is easy to use and the prediction is accurate and intuitive.

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劉明輝,沈佐銳,高靈旺,張躍進(jìn),王建強(qiáng),姜玉英.基于WebGIS的農(nóng)業(yè)病蟲害預(yù)測預(yù)報(bào)專家系統(tǒng)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(7):180-186. Expert System Based on WebGIS for Forecast and Prediction of Agricultural Pests[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(7):180-186.

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