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电子麦克费尔诱捕器。

The electronic McPhail trap.

作者信息

Potamitis Ilyas, Rigakis Iraklis, Fysarakis Konstantinos

机构信息

Department of Music Technology & Acoustics, Technological Educational Institute of Crete, E. Daskalaki Perivolia 74100, Rethymno Crete, Greece.

Department of Electronics, Technological Educational Institute of Crete, Romanou 3-Chalepa, Chania 73133, Greece.

出版信息

Sensors (Basel). 2014 Nov 25;14(12):22285-99. doi: 10.3390/s141222285.

DOI:10.3390/s141222285
PMID:25429412
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4299014/
Abstract

Certain insects affect cultivations in a detrimental way. A notable case is the olive fruit fly (Bactrocera oleae (Rossi)), that in Europe alone causes billions of euros in crop-loss/per year. Pests can be controlled with aerial and ground bait pesticide sprays, the efficiency of which depends on knowing the time and location of insect infestations as early as possible. The inspection of traps is currently carried out manually. Automatic monitoring traps can enhance efficient monitoring of flying pests by identifying and counting targeted pests as they enter the trap. This work deals with the hardware setup of an insect trap with an embedded optoelectronic sensor that automatically records insects as they fly in the trap. The sensor responsible for detecting the insect is an array of phototransistors receiving light from an infrared LED. The wing-beat recording is based on the interruption of the emitted light due to the partial occlusion from insect's wings as they fly in the trap. We show that the recordings are of high quality paving the way for automatic recognition and transmission of insect detections from the field to a smartphone. This work emphasizes the hardware implementation of the sensor and the detection/counting module giving all necessary implementation details needed to construct it.

摘要

某些昆虫会对农作物种植造成不利影响。一个显著的例子是橄榄果蝇（地中海实蝇（Rossi）），仅在欧洲，每年就造成数十亿欧元的作物损失。害虫可以通过空中和地面诱饵农药喷洒来控制，其效率取决于尽早了解昆虫侵扰的时间和地点。目前诱捕器的检查是人工进行的。自动监测诱捕器可以通过在目标害虫进入诱捕器时进行识别和计数，来加强对飞行害虫的有效监测。这项工作涉及一种带有嵌入式光电传感器的昆虫诱捕器的硬件设置，该传感器能在昆虫飞入诱捕器时自动记录它们。负责检测昆虫的传感器是一个接收来自红外发光二极管光线的光电晶体管阵列。翅膀拍击记录基于昆虫在诱捕器中飞行时翅膀部分遮挡所发射光线而造成的光中断。我们表明这些记录质量很高，为昆虫检测从田间到智能手机的自动识别和传输铺平了道路。这项工作强调了传感器以及检测/计数模块的硬件实现，并给出了构建它所需的所有必要实现细节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8254/4299014/e8b2b015835a/sensors-14-22285f14.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8254/4299014/9d823a47a1ad/sensors-14-22285f5.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8254/4299014/1774ce0bce76/sensors-14-22285f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8254/4299014/92ef2dd13a5b/sensors-14-22285f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8254/4299014/98ee0aa56e95/sensors-14-22285f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8254/4299014/6ff1babb3276/sensors-14-22285f12a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8254/4299014/e8b2b015835a/sensors-14-22285f14.jpg

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