A pest sexual attraction monitoring system based on IoT and image processing

Abstract In order to improve the efficiency and timeliness of pest field sexual attraction monitoring and then improve the efficiency of crop pest forecasting, in this study, we improved the traditional method of sexual inducement by designing a remote insect trap image collection device with image collection, remote communication and other Internet of Things technologies. An image processing and counting method based on OpenCV cascade classifiers was constructed with remote sexual attraction images. A pest situation database was established, and a pest monitoring and early warning system was constructed. The application of the system is convenient for plant protection technicians to collect and query the pest monitoring data, as well as the release of the pest early warning information, and it does realize the informatization of crop pest monitoring and early warning.