Intelligent longhorn beetle monitoring device based on gravity sensing counting

Abstract

The invention relates to an intelligent longhorn beetle monitoring device based on gravity sensing counting, and belongs to the field of plant protection machinery. The intelligent longhorn beetle monitoring device mainly structurally comprises an environment sensing module, a pest luring module, a pest sensing module, a pest recognition module, a data processing module and a support, and is characterized in that the pest sensing module is triggered and started by gravity sensing and achieves counting, and the pest sensing module is in a dormant state when no gravity sensing exists. The intelligent longhorn beetle monitoring device can achieve real-time investigation, intelligent monitoring, data analysis and prevention and control guidance of the pest situation of the longhorn beetles, has the advantages of strong real-time performance, good intelligence, high accuracy, low energy consumption and strong field applicability, and can meet the actual requirements of monitoring and control of the longhorn beetles in agriculture and forestry.

Description

technical field [0001] The invention belongs to the field of plant protection machinery, and in particular relates to an intelligent monitoring device for longicorns based on gravity induction counting. Background technique [0002] Beetles are the general term for insects of the Coleoptera Beetleidae, and there are many kinds of them. Beetles usually have chewing mouthparts and characteristics of feigned death. Generally, larvae or adults overwinter in tree trunks and eat the bark and young shoots of plants. a deadly threat. [0003] In order to reduce the harm of longicorn beetles, relevant forestry departments organized large-scale monitoring and prevention and control of main longicorn beetle species in key areas. However, the existing Tianniu intelligent monitoring and prevention and control technology usually has the following problems: 1. The existing traditional monitoring method does not have the function of counting and taking pictures, and requires a lot of manp...

AI Technical Summary

Problems solved by technology

However, the existing Tianniu intelligent monitoring and prevention and control technology usually has the following problems: 1. The existing traditional monitoring method does not have the function of counting and taking pictures, and requires a lot of manpower, material and financial resources to go to the scene for relevant statistics , unable to provide timely prevention and control information for the monitoring of beetle pests; 2. The photoelectric monitoring method senses the touching objects, so any object passing through the photoelectric device will be sensed, resulting in poor accuracy. Climbing often leads to repeated counting, which leads to obvious differences between the monitoring data and the actual situation. Moreover, the photoelectric sensor needs to be powered on all the time, which requires a lot of energy consumption. need

Images