Infrared Photoelectric Sensor Network Applied to Remote Arthropod Insects' Surveillance

Federico Gaona, Ever Quiñonez, Adolfo Jara, Ariel Manabe, Norma Silva, M. Monteiro, C. Schaerer, M. C. Vega, A. R. Arias
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Abstract

This work presents a monitoring system trap to detect the presence of arthropod insects in a remote surveillance zone. Detections are made using sensor traps that are installed in twenty houses of an indigenous village of the Paraguayan Chaco in South America, where the insects that transmit Chagas disease are pressing to infest the area. Pheromone baits are used to ensure the attraction of Triatoma infestans. For detecting variations of the light due to insect intrusion, trap entrances have photoelectric infrared sensors. Once the insect is detected, the information is collected and transmitted to an Internet database storage server. More than 750 intrusions were detected during nine months, the highest number of detections occurred when the temperature ranged between 20 °C and 34 °C, relative humidity average less than 30% and the precipitation was less than 1.5 mm. This new result provides evidence of the T. infestans activity at different times of the day and month, and its relationship with certain environmental variables. These findings contribute to reorientate surveillance procedures, validate the monitoring system proposal and give important information on the vector's life activity.
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红外光电传感器网络在节肢动物昆虫远程监测中的应用
这项工作提出了一个监测系统陷阱,以检测节肢动物昆虫的存在在一个遥远的监视区。利用传感器陷阱进行检测,这些陷阱安装在南美洲巴拉圭查科一个土著村庄的20所房屋中,传播恰加斯病的昆虫正在该地区肆虐。使用费洛蒙诱饵以确保吸引感染三角瘤。为了检测由于昆虫入侵引起的光线变化,陷阱入口装有光电红外传感器。一旦检测到昆虫,信息就会被收集并传输到互联网数据库存储服务器。9个月共检测到入侵750余次,其中温度在20 ~ 34℃,平均相对湿度小于30%,降水量小于1.5 mm时检测到入侵次数最多。这一新结果提供了该菌在一天和一个月的不同时间活动的证据,以及它与某些环境变量的关系。这些发现有助于重新定位监测程序,验证监测系统建议,并提供有关病媒生命活动的重要信息。
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