摘要
根据森林害虫发生规律及生物学的特性,结合气象预报等资料进行综合分析和判断,以ArcOb jects和V isual Basic作为二次开发平台,应用马尔可夫链、人工神经网络(ANN)等方法预测害虫未来发生期、发生量、发生范围、危害程度等,并按照发生的范围和位置在地图上进行标注和三维显示。
According to the occurrence laws of forest pest diseases and the characteristics of biology, the system is able to analyse and judge data synthetically, integrating with weather forecast data. The system uses integration of ArcObjects and Visual Basic as the secondary development platform. By using Markov chain and Artificial Neural Networks(ANN) methods, this system forecasts period, quantity, area, harm degree of pests occurrence. On the map ,the area and location can be labelled and displayed with three dimensions by extent and location of occurrence.
出处
《江西农业大学学报》
CAS
CSCD
北大核心
2006年第2期308-311,共4页
Acta Agriculturae Universitatis Jiangxiensis
基金
国家自然科学基金项目(40172099)
国土资源部科技基金项目(B7-10)
江西省森林病虫害防治站共同资助