基于决策树技术的智能植保机械决策支持系统

针对智能植保机械构建了包括气象数据库、林木病虫害管理数据库和植保机械数据库在内的专题数据库，运用影响喷施农药的温度、湿度、风速和农药剂型等4个主要因素设计了基于归纳式学习方法的决策树。利用VB（Visual Basic）语言开发，实现了对数据库的调用，建立了基于不同空间、时间和实际条件的植保机械作业决策支持系统，分析了植保机械作业生产对空间、时间、药剂类型、防治成本和实际条件的要求与反应。通过该系统可合理利用气候条件提高林木病虫害防治效果。

Decision support system for intelligent plant protection machinery based on decision tree technology

Based on analyzing the features of intelligent plant protection machinery,several specialized databases were put forward,including the meteorological database,forest pests and diseases management database,and plant protection machinery database.Decision tree based on induction was designed,which used temperature,humidity,wind speed and pesticide formulations to influence the pesticide application,transferring among all databases was also realized by using VB.Plant protection machinery decision support system oriented to different space,time and actual condition was created.This part of the project provided a case study showing how to treat forestry pests and diseases effectively by using proper sciences and technologies.