Factor integration and forecast in modeling of insect pest forecasting by projection pursuit regression (PPR) technique was forecasted with about 80% accuracy.
用投影寻踪回归 (PPR)技术作害虫预测建模的因子综合和预测 ,正确率高达 80 % ,说明在害虫预测建模的因子综合和预测中 ,投影寻踪回归技术是适用的。
monitoring and forecasting of plant diseaseand insect pest
植物病虫害预测预报
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
The Designment and Development of Forest Pest Diseases Forecast System;
森林病虫害预测预报系统的设计与研发
Problems and Measures of the Prediction of Tobacco Diseases and Pests
烟草病虫害预测预报工作存在的问题与对策
Expert System Based on WebGIS for Forecast and Prediction of Agricultural Pests
基于WebGIS的农业病虫害预测预报专家系统
The Development and Research of DPF-GIS Based on GP;
基于GP的病虫害预测地理信息系统的开发研究
The Application of Data Mining in Golf Court Pest Prediction
数据挖掘在高尔夫球场虫害预测的应用
Based on "3S" technologies in Xiaolongshan forest area of forest diseases and insect pests forecast
基于“3S”技术的小陇山林区森林病虫害预测
Pests Forecasting Using Fuzzy Clustering Based on Principal Component Analysis
基于主成份分析的模糊聚类虫害预测模型研究
Application and Research of Data Mining Technology on the Cotton Bollworm Disease Prediction
数据挖掘技术在棉铃虫害预测中的应用研究
Review of research on pests forecast based on weather
基于气象视角的农作物病虫害预测预报研究概况
Study on the Simulated Model of Peanut Leaf Spots and Expert System of Peanut Diseases and Pests for Forecasting;
花生叶斑病模拟模型与病虫害预测专家系统的研究
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
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
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
Study on the Disaster Forecast of Masson Pine Caterpillar Dendrolimus Punctatus(Walker);
马尾松毛虫灾害预测预报综合技术研究
Grasshopper Hazard Prediction GIS in the Region around Qinghai Lake;
环青海湖地区草地蝗虫灾害预测信息系统
Application of stepwise regression model in predicting the movement of Artemisia ordosica boring insects.
逐步回归模型在油蒿钻蛀性害虫预测中的应用
CopyRight © 2020-2024 在线英语词典[www.yycidian.com]版权所有 All Rights Reserved. ICP备案号:浙ICP备2024103067号