Orchard flying pest trap classification and counting device

Abstract

The invention provides a device for trapping, classifying and counting orchard flying injurious insects. The method comprises a solar panel, a trapping device, a rainwater treatment device, a counting device, a collection device, a preprocessing device, a classifying device, a recycling device and a master control panel, wherein the trapping device is used for attracting and killing the injurious insects according to gyplure. The counting device comprises a first group of infrared sensors which include four orthogonal photoelectric sensors arranged in an orthogonal mode, connected in a mode of a Chinese character 'huo' (or) and connected to the same input / out (IO) port, and the counting device counts the injurious insects according to level changes of the IO port. The collection device comprises three groups of orthogonal infrared photoelectric sensors, namely, a second group of infrared photoelectric sensors, a third group of infrared photoelectric sensors and a fourth group of infrared photoelectric sensors, wherein each group of infrared photoelectric sensors include four infrared photoelectric sensors, the distances between every two groups of infrared photoelectric sensors are the same, and the collection device is used for calculating the length of the injurious insects.

Description

technical field [0001] The invention relates to the technical field of counting devices using photoelectric devices, in particular to a sorting and counting device for trapping flying pests in orchards. Background technique [0002] Fruit tree pests are generally small in size, with hidden damage sites, many generations, rapid population growth, and difficult control. The acquisition of pest information is one of the important foundations for precise pest control. And there are few methods for the classification of pests at present, and generally all just simply count the pests that are trapped, and predict the injury information. If you want to see what kind of damage is caused by diseases and insect pests, you need to go to the data monitoring station to check frequently, but due to the weather and weathering, it is difficult to identify the kind of pests that have fallen. According to the experience of years of data collected in the field, if the length of the pest can b...

AI Technical Summary

Problems solved by technology

And the traditional method of obtaining pest information is time-consuming and laborious. There are many links in data investigation, recording and reporting, and the workload of monitoring personnel is heavy. It is easily affected by subjective factors and the timeliness of data application is poor.

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