I. Product Introduction:

The WE-JZA8 Food-Lure Pest Monitoring and Early Warning System is a new type of pest monitoring and warning equipment. This device uses food to attract target pests to the vicinity and employs wireless transmission technology, the Internet of Things (IoT), and other technologies to achieve pest monitoring and early warning. Through real-time monitoring, data analysis, and intelligent warning functions, the system helps users stay informed about pest dynamics in a timely manner.

In summary, the Food-Lure Pest Monitoring and Early Warning System is a powerful pest monitoring device that provides strong support for the sustainable development of modern agriculture. The system features stable performance, easy operation, and flexible configuration, making it widely applicable in pest monitoring fields such as agriculture and forestry.

Common Applications of Food-Lure Pest Monitoring:

Vegetable Gardens: Spodoptera litura, Spodoptera exigua, Plutella xylostella, whiteflies, etc.;  

Tea Plants: Tea green leafhopper, Ectropis obliqua, Myllocerinus aurolineatus, Aeolesthes induta, Adoxophyes honmai, Homona magnanima, etc.;

Orchards: Dichocrocis punctiferalis, Bactrocera cucurbitae, Papilio xuthus, etc.;

Rice Fields: Spodoptera frugiperda, Mythimna separata, Spodoptera exigua, Spodoptera litura, Cnaphalocrocis medinalis, Sesamia inferens, etc.;

Wheat Fields: Rice planthoppers, aphids, wheat thrips, etc.;

Corn: Ostrinia furnacalis, Mythimna separata, Helicoverpa armigera, etc.

II. Technical Parameters

1. Appearance Structure: The overall structure adopts stainless steel electrostatic powder coating technology, making it sturdy and durable with high cost-effectiveness. Total height: 2.5 meters;

2. Power Supply: Supports AC 220V or solar power DC12V (80W 40Ah solar power system);

3. Device Power: Standby power ≤10W, operating power ≤20W;

4. Display Screen: Equipped with a 7-inch Android industrial smart touchscreen, Android intelligent control system, and new gesture control, providing an intelligent human-machine interaction experience;

5. Communication Methods: Supports multiple networking methods such as Wi-Fi/4G/Ethernet;

6. GPS Positioning: Built-in GPS positioning function, allowing users to view device site data on GIS maps;

7. Food-Lure Trapping: Uses specific food to attract target pests to the vicinity for trapping and elimination;

8. Common Monitored Pests: Include but are not limited to rice planthoppers and other pests;

9. Camera Device: Uses an industrial high-definition camera with ≥12 million pixels to automatically capture pest images and upload them to the smart agriculture IoT cloud platform;

10. Data Processing: The system builds a pest database and uses AI intelligent recognition technology to classify and count pest species and quantities, displaying the results in the form of graphs for intuitive and clear visualization;

11. Automatic Recognition: The system features pest recognition functionality, with an accuracy rate of ≥97% for common agricultural and forestry pests. Recognized pests include but are not limited to: Spodoptera litura, Spodoptera exigua, leafhoppers, longhorn beetles, scarab beetles, Chilo suppressalis, rice planthoppers, Cnaphalocrocis medinalis, Plutella xylostella, Ectropis obliqua, Helicoverpa armigera, and hundreds of other pests;

12. Electric Grid Pest Elimination: Uses a circular high-voltage electric grid to eliminate pests. The high-voltage grid is fixed at the top and suspended at the bottom to ensure eliminated pests do not accumulate under the grid. Elimination voltage: 6000±500V;

13. Powerful Data Storage Function: When network failure occurs, the local data caching mechanism is activated, with a storage capacity of approximately 500,000 records. Once the network is restored, cached data is automatically uploaded to the server to ensure data security and prevent loss;

14. Time Period Control: Based on the life habits of target pests, users can remotely set the working time periods for the electric grid;

15. Pest Storage: Uses a sealed pest collection box to ensure captured pests are not lost and facilitate easy removal;

16. Working Environment: Capable of normal operation in harsh conditions. Operating temperature: -20°C to 70°C; Operating humidity: 0-95%;

17. High and Low Temperature Protection: Users can set high and low temperature protection thresholds. During winter when pests are dormant, the device automatically enters dormancy to extend its lifespan;

18. Remote Restart: Users can remotely restart the device with one click via a mobile app or web interface;

19. Remote Maintenance: Remote updates via the cloud platform enable system maintenance and upgrades without leaving home;

20. Remote Fault Diagnosis: When a device malfunction occurs, fault diagnosis can be performed remotely via logs;

21. Software Functions:

(1) Fault Alarm: Includes device displacement alarm functionality;

(2) Real-Time Upload: Monitoring data is uploaded to the cloud platform in real time for backup, ensuring no data loss;

(3) Data Query and Export: Monitoring data can be screened by time period as needed and viewed or exported in the form of graphs or Excel spreadsheets;

(4) Threshold Setting: Pest thresholds can be set remotely. When the threshold is reached, the system automatically sends a WeChat alert;

(5) WeChat Alerts: Device-related warning information can be pushed to users via WeChat official accounts, enabling timely responses and serving a preventive and warning role;