Recently, the forestry pest detection and reporting system developed by Okeqi for customers in Hebei was successfully accepted. Forest pests refer to pests such as diseases, insects and weeds that endanger the normal growth of forests, woods and forest seeds and cause economic losses. The forestry pest monitoring and reporting system developed by Okochi solves the problem of forest pest monitoring and control, which can monitor the insect status in real time, make accurate early warning of the occurrence of forestry pests, and effectively kill.
In recent years, with the development of forestry in Hebei, the forest area has been expanding, especially the growth of large-scale artificial pure forest area, and the rapid recovery of forest area has increased the workload of forestry pest control and the traditional control methods have become more and more inefficient. On the one hand, forest pests have active transmission or rely on natural power transmission and strong reproductive ability, the vast majority of individuals are eliminated, through reproduction or spread, rapid growth constitutes harm. On the other hand, the genetic characteristics of forest pests have a continuous increase in adaptability and drug resistance with the change of environmental conditions. Faced with a series of problems, new technologies and new methods are needed to control forest pests.
Okchi forestry pest control system is composed of software and hardware such as insect detection and reporting lamp, solar insecticidal lamp, pest remote real-time monitoring system, etc., and adopts Internet of Things technology to realize data sharing transmission and concentration. The system mainly uses electromechanical technology, wireless transmission technology, Internet of Things technology, and bioinformatic technology to build a set of pest monitoring and early warning system. The system integrates pest trapping and counting, environmental information collection, data transmission and data analysis, and realizes the automation and intelligence of targeted pest trapping, classification statistics, real-time reporting, remote detection and pest early warning. It has the characteristics of stable performance, easy operation and flexible setting, and is especially suitable for monitoring, early warning and prevention of forest pests.
