1.
Research of Pests Forecasting Using the Method of Neural Network Based on Fuzzy Clustering
基于模糊聚类的神经网络虫情预测研究
2.
monitoring and forecasting of plant diseaseand insect pest
植物病虫害预测预报
3.
By eavesdropping on plants it should be possible to develop an early warning system to detect pests and disease.
通过探测植物的声音可以形成预警机制，探明植物病虫害情况。
4.
Analysis of the results of schistosomiasis surveillance in the Yangtze River Eco-tourism region where control has been implemented
防治措施干预下长江生态旅游区血吸虫病疫情监测结果分析
5.
Study on the Mothod of Monitoring and Forecasting Soil Moisture Content (Drought);
墒情（旱情）监测与预测预报方法研究
6.
Forecast on transmission foci of schistosomiasis japonica in China,2009
2009年全国血吸虫病疫情预警分析报告
7.
Forecasting Pest Occurrence and Recognizing Insect Using Support Vector Machine;
基于SVM的病虫害发生量预测与昆虫识别
8.
Consultation platform of prevention and forecasting for Dendrolimus superans
落叶松毛虫虫害防治预测咨询平台的研建
9.
The Gray Prediction Model for the Spread Period of Schistosomiasis
血吸虫病蔓延周期的灰色预测模型
10.
Prediction for cotton Bollworm(Lepidoptera: Noctuidae) occurring date based on Web-GIS in Xinjiang Region of China;
基于WebGIS的新疆棉区棉铃虫发生期预测
11.
Information service platform of forest pest forecast based on WebGIS
基于WebGIS的森林虫害预测信息服务平台
12.
Prediction of Loss Affected by Pests Based on Neural Network
基于神经网络的农业病虫害损失预测
13.
comparative and predictive information
比较性和预测性情报
14.
National surveillance of schistosomiasis in China,2005-2008
2005～2008年全国血吸虫病疫情监测
15.
Surveillance of snails after schistosomiasis transmission being interrupted in Jiaxing City
嘉兴市血吸虫病传播阻断后螺情监测
16.
Grading results could be applied in forecasting the occurrence of Fruhstorferiola tonkinensis.
研究结果可应用于该蝗虫产卵期的预测预报。
17.
POPULATION DYNAMIC FORECAST OF DENDROLIMUS SUPERANS(BUTLER)
落叶松毛虫种群数量动态预测预报的研究
18.
Forecast of occurrence of Conopomopha sinensis Bradley at fruiting stage of litchi
荔枝蒂蛀虫在荔枝果期的预测预报方法