Intelligent Remote Pest Forecasting Lamp
TPCB-C 8.0
An AI-powered automatic pest monitoring system that integrates pest trapping, intelligent identification, crop growth stage recognition, environmental monitoring, and cloud-based analytics for accurate pest forecasting and integrated pest management.
AI recognition of hundreds of agricultural and forestry pest species
Automatic imaging, identification, and pest counting
AI-based crop growth stage recognition
Automatic collection of meteorological and environmental data
Integrated analysis of pest dynamics, weather conditions, and crop growth
Built-in agricultural AI assistant for pest diagnosis and control recommendations
Automatic rain, light, and timer control
Automatic spider web cleaning for improved reliability
Remote management via PC web portal and mobile app
Real-time data upload to cloud platform
All-weather outdoor operation
AI Pest Identification Model – Automatically identifies hundreds of agricultural and forestry pest species using deep-learning algorithms.
Automatic Pest Counting Model – Automatically counts captured insects and generates daily, weekly, monthly, and historical reports.
Pest Population Trend Analysis Model – Analyzes pest population dynamics and long-term occurrence trends.
Crop Growth Stage Recognition Model – Identifies crop growth stages using AI vision to improve monitoring accuracy.
Weather Correlation Analysis Model – Correlates pest occurrence with temperature, humidity, rainfall, and light intensity.
AI Pest Forecasting Model – Predicts pest outbreaks by integrating historical records with real-time monitoring data.
Integrated Pest–Crop–Weather Analysis Model – Integrates pest, crop growth, and environmental data for comprehensive decision support.
Agricultural AI Assistant – Provides intelligent agricultural Q&A, pest diagnosis, and customized control recommendations.
Early Warning & Alert Model – Automatically generates alerts when pest populations exceed predefined thresholds.
Cloud Visualization Dashboard – Displays pest monitoring results, environmental data, and historical trends through interactive dashboards and visual reports.
| Pest Identification | AI recognition of hundreds of phototactic insect species |
| Imaging System | High-resolution industrial camera |
| Crop Monitoring | AI crop growth stage recognition |
| Environmental Monitoring | Temperature, humidity, rainfall, light intensity (optional) |
| Communication | 4G / Ethernet |
| Data Upload | Real-time automatic transmission |
| Control Mode | Automatic light, rain, and timer control |
| Cloud Platform | Web Dashboard & Mobile App |
| Automatic Maintenance | Spider web cleaning system |
| Installation | Outdoor, weather-resistant design |
| Power Supply | AC Version / AC-DC Hybrid Version |