Flórián Norbert, Gránicz Laura, Gergócs Veronika, Tóth Franciska, Dombos Miklós
Insects. 2020 Apr 14;11(4):244. doi: 10.3390/insects11040244.
There is an increasing need to monitor activity and population growth of arthropods; however, this is a time-consuming and financially demanding process. Using sensors to detect arthropods in the field can help to follow their dynamics in time. Improving our earlier device, we developed a new camera-supported probe to detect soil microarthropods. An opto-electronic sensor ring detects the caught microarthropod individuals what activates a camera. The camera takes pictures of a specimen when it arrives in the camera chamber. A vacuum device was built into the probe which pumps up the specimen from the probe to a sample container. Here, we describe the construction and operation of the probe. We investigated the precision of the process in a laboratory experiment using living microarthropods and evaluated the accuracy of the probes in a semi-natural investigation when environmental noise was present. Under semi-natural conditions, the percentages of success, i.e., the photographed specimens compared to the caught ones, were between 60% and 70% at the investigated taxa. The automatic camera shooting helped in distinguishing insects from irrelevant detections while collecting the trapped insects allowed species-level determination. This information together serves as a basis for the automatic visual recognition of microarthropod species.
监测节肢动物的活动和种群增长的需求日益增加；然而，这是一个耗时且成本高昂的过程。利用传感器在野外检测节肢动物有助于及时追踪它们的动态。在改进我们早期设备的基础上，我们开发了一种新型的相机辅助探测器来检测土壤微型节肢动物。一个光电传感器环可检测到捕获的微型节肢动物个体，进而触发相机。当标本进入相机腔室时，相机会对其拍照。探测器内设有一个真空装置，可将标本从探测器泵入样品容器。在此，我们描述该探测器的构造和操作。我们在实验室实验中使用活的微型节肢动物研究了该过程的精度，并在存在环境噪声的半自然调查中评估了探测器的准确性。在半自然条件下，在所研究的分类群中，成功的百分比，即拍摄的标本与捕获的标本之比，在60%至70%之间。自动相机拍摄有助于在收集捕获的昆虫时将昆虫与无关检测区分开来，而收集捕获的昆虫则有助于进行物种水平的鉴定。这些信息共同为微型节肢动物物种的自动视觉识别奠定了基础。
