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IoT insect detection and reporting light: IoT empowers detection and reporting, achieving visual management of insect situations
Date: 2025-12-31Read: 0
In the field of agricultural pest and disease monitoring, traditional pest monitoring lights have problems such as data transmission lag, dependence on manual on-site inspection, and limited monitoring range, which are difficult to meet the needs of modern agriculture for comprehensive and accurate monitoring. The IoT insect detection and reporting light integrates light, electricity, numerical control technology, and IoT transmission technology, with the core advantages of "fully automatic operation, remote networking, and data visualization", to achieve real-time collection, remote transmission, and intelligent management of insect data, breaking the time and space limitations of traditional detection and reporting modes, and providing efficient and reliable solutions for agricultural and forestry pest monitoring.
Core technology integration to achieve fully automated pest detection and reporting. The IoT insect detection and reporting light strictly follows the GB/T 24689.1-2009 standard for plant protection machinery insect detection and reporting lights. It integrates core components such as insect attractants, impact screens, infrared insecticidal chambers, high-definition cameras, and main control systems, and can automatically complete the entire process of insect attraction, insecticidal control, dispersal, photography, transportation, collection, and drainage without human supervision. It adopts far-infrared insecticidal technology, which not only has higher insecticidal efficiency (mortality rate ≥ 98%) compared to traditional chemical insecticidal or high-voltage electric shock methods, but also preserves the integrity of the insect body (integrity rate ≥ 95%), providing clear samples for subsequent insect identification. The 8-bit automatic transfer bin insect receiver can set its working mode according to the living habits of pests in different time periods, ensuring that the collected insects in different time periods are not confused, achieving precise monitoring in different time periods, and meeting the reporting needs of different target pests.
Empowered by IoT technology, breaking the limitations of time and space management. The device supports multiple networking methods such as 4G, WIFI, and wired, and can flexibly adapt to different planting scenarios to achieve real-time remote transmission of pest data and device status. Through the backend management platform, staff can view the working status of devices (such as insecticide chamber temperature, transfer status, photo frequency, etc.), real-time insect situation pictures, and historical monitoring data anytime and anywhere, without the need for on-site monitoring to complete comprehensive insect situation monitoring. The platform supports remote control function, which can remotely set device working parameters (such as insecticide temperature, processing time, working hours, etc.), trigger manual photography, switch working modes, greatly improving management efficiency. Built in GPS positioning module, which can accurately display the installation location of devices on the map, facilitating unified management of multi site devices. If the device is stolen, it can also be tracked through the positioning function to ensure device security.
High definition visual monitoring and reporting to improve the accuracy of insect identification. The device is equipped with a 1200W pixel high-definition image acquisition device and a professional insect dispersal and leveling system. The conveyor belt can accurately deliver the collected insects to the shooting area, and through vibration dispersion processing, ensure that each insect feature can be captured clearly. The captured insect body images are uploaded in real-time to the backend platform, and the platform's image analysis system can preliminarily identify the characteristics of the insect body. Staff can also intuitively judge the type and quantity of pests through the images, achieving visual pest monitoring and reporting. Compared with traditional manual statistical methods, high-definition visualization forecasting not only reduces manual errors, but also quickly accumulates insect sample data, providing rich data support for the analysis of pest and disease occurrence trends. At the same time, it supports manual photography function. When a special insect situation is detected, remote photography can be triggered to accurately capture key insect situation information.
Full scene adaptation ensures long-term stable operation. The equipment has excellent environmental adaptability and is equipped with an independent rain control and drainage system that can automatically discharge rainwater, effectively separating rain and insects, and avoiding damage to the equipment caused by accumulated water in the box; The light control system adopts light sensing sensors, which can automatically recognize day and night changes. It automatically turns on the lights to attract insects at night and turns off the lights for standby during the day. It is also not affected by momentary strong light interference during night work, ensuring stable working conditions. The fuselage is made of plastic sprayed metal frame and professional protective box, with good corrosion resistance and oxidation resistance. It is equipped with lightning protection device and leakage protection device, which can effectively resist the impact of lightning, rainstorm, high temperature, severe cold and other adverse weather, and ensure the long-term stable operation of the equipment outdoors. Easy to install, simply prefabricate a cement platform and fix the base with expansion screws (320mm high to prevent rainwater from pouring back during the rainy season) to complete the fixed installation of the equipment. It is suitable for deployment in various scenarios such as large-scale planting bases, forestry protection areas, and agricultural ecological monitoring stations. In the application of a tea plantation base, the device successfully and accurately detected the peak period of occurrence of tea leafhoppers through remote monitoring via the Internet of Things, guiding farmers to carry out biological control in a timely manner, reducing pesticide use, and improving tea quality.