WE-JZA7 Pest Monitoring and Early Warning Analysis System

I. Product Introduction:

The WE-JZA7 Pest Monitoring and Early Warning Analysis System captures insects using sticky insect rolls. It is an integrated monitoring and reporting system that combines remote control, automatic pest trapping, timed pest photo collection, data transmission, data statistics, and data analysis. Equipped with a 12-megapixel industrial camera, it captures clear images of field pests. Utilizing wireless transmission technology and IoT technology, the system predicts future pest and disease trends. It also features AI recognition capabilities. Through machine learning, computer vision, and other technologies, the system can autonomously learn and continuously improve its judgment. On the platform, it enables automatic pest identification and counting, as well as analysis and early warning of pest occurrence and development. This system is characterized by stable performance, user-friendly operation, and flexible configuration.

It can be widely applied in various pest monitoring fields, including agricultural pests and forestry pests.

Common Pest Monitoring Applications

Yellow-attracted pests

Vegetable gardens: Seven-spotted ladybug, bee, stem borer, cabbage white butterfly, small black fly wasp, whitefly, etc.;

Tea plants: Tea blister mite, tea orange mite, tea geometrid, tea silver geometrid, tea bagworm, tea thrips, leafhopper, etc.;

Orchards: Fruit fly, grape leafhopper, pear art wasp, pear psylla, pear stem borer, scarab beetle, apple fruit fly, etc.;

Flowers: Whitefly, striped flea beetle, scale insect, etc.;

Rice fields: Planthopper, whitefly, leaf miner, flat-headed moth, etc.;

Corn: Corn borer, fruit-piercing moth, green mirid bug, fruit-piercing moth, etc.;

Blue-attracted pests

Vegetable gardens: Thrips, etc.;

Orchards: Pear psylla, leaf miner, fruit fly, mango thrips, etc.;

Flowers: Flower thrips, palm thrips, onion thrips, etc.;

Tea plants: Tea thrips, tea noctuid, etc.;

Rice fields: Rice planthopper, rice stem borer, rice skipper, etc.;

Corn: Cotton bollworm, scale insect, leafhopper, cotton bollworm, etc.;

Green-attracted pests

Vegetable gardens: Diamondback moth, mole cricket, western flower thrips, cabbage worm, locust, etc.;

Tea plants: Tea black spiny whitefly, etc.;

Rice fields: Rice leaf roller, longhorn beetle, rice green caterpillar, etc.;

Corn: Stem borer, etc.;

II. Technical Parameters:

1. Appearance structure: The overall structure uses stainless steel electrostatic powder coating, making it sturdy and durable with ultra-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 ≤30W;

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

5. Communication: Supports multiple networking methods such as WIFI/4G/Ethernet;

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

7. Trapping: Uses color boards (yellow/blue/green, three types of insect-attracting boards available) to trap color-attracted pests, with controllable pest types. Can also be combined with pheromones for attraction;

8. Automatic color board replacement: The system can set the color board replacement time to achieve automatic replacement of insect-attracting boards;

9. Camera device: Uses a ≥12-megapixel industrial high-definition camera 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 types and quantities, displaying the results in graph form for more intuitive and clear visualization;

11. Automatic recognition: The system has 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, beet armyworm, leafhopper, longhorn beetle, scarab beetle, rice stem borer, rice planthopper, rice leaf roller, diamondback moth, tea geometrid, cotton bollworm, and hundreds of other pests;

12. Powerful data storage function: When network failure occurs, the local data caching mechanism is activated, with a storage capacity of approximately 500,000 entries. After network recovery, cached data is automatically uploaded to the server to ensure data security and prevent loss;

13. Working environment: Can operate normally in harsh conditions. Operating temperature: -20°C to 70°C; Operating humidity: 0-95%;

14. High and low-temperature protection: Users can set high and low-temperature protection thresholds. During winter pest dormancy, the device automatically enters dormancy to extend machine life;

15. Remote restart: Allows one-click remote restart of the device via mobile APP or WEB interface;

16. Remote maintenance: Enables remote system updates via the cloud platform, allowing remote maintenance and upgrades without leaving home;

17. Remote fault diagnosis: When a device malfunctions, fault troubleshooting can be performed remotely via logs;

18. Software functions:

(1) Fault alarm: Includes device displacement alarm function;

(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: Allows screening of monitoring data by time period as needed. Monitoring data can be viewed and exported in graph or Excel format;

(4) Threshold setting: Enables remote setting of pest thresholds. When the set value is reached, the system automatically sends a WeChat alert;

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