The Intelligent Pest Monitoring System was developed by integrating the advanced technology including AI image recognition, embedded systems with high-speed computation capability and communication functions, cloud and mobile computing, and machine learning. The system can identify various types of insect pests and the counts on the sticky paper trap mounted on the intelligent sensing module. This allows long term monitoring of the status of insect pests as well as the environmental conditions automatically. The collected data thus can be used to build insect behavior models and therefore an early warning system can be implemented which will facilitate the greenhouse or field crop management. We anticipate this new approach will have multiple benefits in integrated pest and disease management, and thus will reduce pesticide use, environmental impacts, crop loss, and labor in crop management and production.

1. The commercial prototype of the Intelligent Pest Monitoring System has been designed, manufactured, and installed in 14 farms for long-term testing and promotion.

2. A cross-platform APP development environment has been developed to facilitate synchronization of APP functionality and to provide user-friendly interface for farmers.

3. Besides the capabilities of automated pest recognition and environmental data acquisition, pesticide application detection and video streaming functionalities were also newly added to the sensing module.

4. The early warning models of two important diseases of tomato seedlings have been successfully built and deployed in APP for farmers’ use in daily crop management.