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A QUANTITATIVE STORED-PRODUCT INSECT MONITORING SYSTEM USING SENSOR OUTPUT ANALOG PROCESSING (SOAP)

机译:使用传感器输出模拟处理(SOAP)的定量存储产品昆虫监测系统

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摘要

A system is described for automated monitoring of pest insects in stored products. It provides quantitative data indicative of the species of detected insects and is self-calibrating to maintain reliable operation across adverse external conditions, including environmental, biological, and aging. The system employs grain probes with infrared beam optoelectronic sensor units, each having a dedicated electronic circuit with a microcontroller programmed to collect, analyze, store, and transmit data from a signal pulse generated when an insect falls through its infrared beam. These data, transmitted back to a central computer in real-time, can be used to make infestation control decisions in an IPM program without the need for dangerous and labor-intensive scheduled bin entries
机译:描述了一种用于自动监视所存储产品中的害虫的系统。它提供指示检测到的昆虫种类的定量数据,并且可以自我校准以在不利的外部条件(包括环境,生物学和老化)下保持可靠的运行。该系统采用带有红外光束光电传感器单元的谷物探头,每个探头都具有专用的电子电路,该电路具有微控制器,该微控制器被编程为收集,分析,存储和传输来自昆虫掉入其红外光束时产生的信号脉冲的数据。这些数据实时传输回中央计算机,可用于在IPM程序中进行侵扰控制决策,而无需进行危险且费力的调度箱条目

著录项

  • 来源
    《Transactions of the ASAE》 |2004年第5期|p.00001857-00001864|共8页
  • 作者单位

    Dennis Shuman ASAE Member Engineer, Research Engineer, USDA-ARS Mosquito and Fly Research Unit, CMAVE, Gainesville, Florida;

    Ronald G. Larson, ASAE Member Engineer, Engineering Manager, OPIsystems, Inc., Calgary, Alberta, Canada;

    and Nancy D. Epsky, Research Entomologist, USDA-ARS Subtropical Horticulture Research Station, Miami, Florida. Corresponding author: Dennis Shuman, USDA-ARS, CMAVE, 1700 SW 23 Drive, Gainesville, FL 32608;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Classification; Datalogging; Grain bin; Infrared sensors; Insect detection; Monitoring; Sensing; Stored-product pests;

    机译:分类;数据记录;粮仓红外传感器昆虫检测;监控;感应;储存产品害虫;

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