赵朋, 刘刚, 李民赞, 李道亮. 基于GIS的苹果病虫害管理信息系统[J]. 农业工程学报, 2006, 22(12): 150-154.
    引用本文: 赵朋, 刘刚, 李民赞, 李道亮. 基于GIS的苹果病虫害管理信息系统[J]. 农业工程学报, 2006, 22(12): 150-154.
    Zhao Peng, Liu Gang, Li Minzan, Li Daoliang. Management information system for apple diseases and insect pests based on GIS[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(12): 150-154.
    Citation: Zhao Peng, Liu Gang, Li Minzan, Li Daoliang. Management information system for apple diseases and insect pests based on GIS[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(12): 150-154.

    基于GIS的苹果病虫害管理信息系统

    Management information system for apple diseases and insect pests based on GIS

    • 摘要: 以实现苹果病虫害的高效管理与预测预报为目的,设计开发了基于GIS的苹果病虫害管理信息系统。系统以GIS技术、人工神经网络技术和Internet 技术为支撑,包括苹果病虫害基础数据处理子系统、苹果虫害预测预报子系统和苹果病虫害网络发布子系统。在基础数据处理子系统中,系统具有数据获取、数据导出、属性查询、空间查询、数据统计分析、图层编辑、插值分析等功能;在苹果虫害预测预报子系统中,系统具有病虫害图片库维护、病虫害诊断、虫害预测预报功能;在病虫害网络发布系统中,系统提供了苹果病害信息查询、苹果虫害信息查询、专题图查询、预测预报结果查询等功能;系统提供的算法可以较好地预测苹果病害的发生程度。系统作为一种工具软件可以为果树病虫害管理、田间数据分析与精细农业研究提供支持。

       

      Abstract: In order to manage and predict apple diseases and insect pests efficiently, a management information system was developed based on GIS technology. The management system includes three sub-systems: basic database, predicting sub-system designed by Artificial Neural Network(ANN) technology, and information releasing system based on Internet. In the database of apple diseases and insect pests, nine functions were provided for users such as external data input function, processed data output function, property data inquiry function, spatial data inquiry function, data analysis function, layer editing function, and data interpolation function. In the apple insect pests predicting system, the following functions were provided: renewing disease and insect pest pictures, diagnosing disease and insect pests, and predicting insect pests. In the information releasing system, the news and information about apple diseases and insect pests could be released via Internet. Practical application of the system in Yantaicity, Shandong Province showed that it could manage the data of apple diseases and insect pests effectively and predict insect pest accurately.

       

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