A WebGIS ezpert system for rice brown planthopper disaster early-warning in Chinas Shanghai
The brown planthopper (BPH) Nilaparvata lugens (St(a)l) is one of the most devastating insect pests in rice planting region of Chinas Shanghai. The incidence and distribution of this pest in both tropical and temperate regions are significantly influenced by climate conditions. The BPH feeds mainly on the stems, sucks assimilates from the phloem and results in drying of the leaves and wilting of the tillers. As a result, it is important to develop decision aids that help evaluate the disasters of this pest to Shanghai rice planting regions. Expert systems are a type of decision aid that could be applied to the domain of disaster evaluation and disaster early-warning. An interactive WebGIS expert system for BPH disaster early-warning in this context was developed from rice varieties?susceptibility, pest density and climatic factors in Shanghai rice planting region. The system used a straightforward set of if-then rules to classify disaster. The parameters, related to BPH outbreak, of Shanghai rice planting region from Client were selected to the interactive WebGIS, and the early-warning results and control measures of the disaster were shown in Client-end WebGIS browser from Server to Client. The development of WebGIS expert system for BPH disaster early-warning in Chinas Shanghai presented significant challenges to maintaining Client-user processing convenience and applying advantage.
WebGIS disaster early-warning brown planthopper ezpert system
Xiaobin Chen Qingwen Luo Yaopei Jiang Zhenmei Lv Shuwen Wu
School of Agriculture and Biology Shanghai Jiaotong University Shanghai, 200240, China Shanghai Agricultural technology extension center Shanghai, 201103, China College of life science Zhejiang University Hangzhou, 310029, China
国际会议
上海
英文
2507-2510
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）