吕昭智, 沈佐锐, 程登发, 姚青. 现代信息技术在害虫种群密度监测中的应用[J]. 农业工程学报, 2005, 21(12): 112-115.
    引用本文: 吕昭智, 沈佐锐, 程登发, 姚青. 现代信息技术在害虫种群密度监测中的应用[J]. 农业工程学报, 2005, 21(12): 112-115.
    Lü Zhaozhi, Shen Zuorui, Cheng Dengfa, Yao Qing. Application of information technologies in monitoring the population density of pests[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(12): 112-115.
    Citation: Lü Zhaozhi, Shen Zuorui, Cheng Dengfa, Yao Qing. Application of information technologies in monitoring the population density of pests[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(12): 112-115.

    现代信息技术在害虫种群密度监测中的应用

    Application of information technologies in monitoring the population density of pests

    • 摘要: 害虫种群密度监测是害虫预测准确度关键,对农田生态系统中害虫综合管理有重要指导意义。该文从传统的害虫监测技术入手,分析了近年现代信息技术在害虫自动化监测中应用的进展,分析了计算机视觉、声音信号、传感器、雷达和遥感等信息技术在害虫密度估算中的优势和存在的问题,指出了计算机视觉技术和传感器技术是具有潜力的监测技术,阐述了现代信息技术在害虫自动化监测的主要方向和实现途径,对未来农田生态系统中害虫预测和综合管理具有重要意义。

       

      Abstract: Monitoring pest population density is the key to prediction precision, which has the significant guidance for integrated pest management in agricultural ecosystem. Based on the traditional monitoring technique of pests, the progress of monitoring pest density with modern information technologies was reviewed. The advantages and disadvantages in application of computer vision technology (CVT), acoustic technique,radar and remote sensing technology to estimate the pest population density were analyzed. CVT and sensor will be powerful and potential tools in assessing the pest density. The pathway and main prospects were expounded in automatic acquisition of the data of pest density. Those modern technologies were significant for pest prediction and integrated pest management(IPM) in the future.

       

    /

    返回文章
    返回