Abstract:

This study aims to study the application strategies of new technologies such as Internet+, 3S, AI, and big data in biological invasion prevention and control, and analyze the application paths of digital intelligent platforms in biological invasion prevention and control, so as to solve the problem of inefficiency and time-consuming in traditional invasive biological prevention and control. We used field surveys, literature reviews, and typical case analysis to comprehensively evaluate the role of digital and intelligent platforms in biological invasion monitoring and prevention. The results show that the ways to improve digital intelligence in biological invasion prevention and control include solution design and platform construction, digital intelligence improvement in data collection and processing, and implementation and application in specific ecosystem types. The focus is on the use of Internet+, 3S technology, AI big data analysis, data mining and data cleaning and other technical means to build an intelligent monitoring and early warning system for invasive organisms, so as to achieve the management of basic information on biological invasive species, visualize its spatial distribution and hazard degree, and focus on the application of drones, sensors, and etc. in the detection and removal of biological invasion. The results are expected to provide scientific reference for improving the efficiency of biological invasion prevention and control and building a digital intelligent platform.

Key words: biological invasion prevention and control, GIS+, digital technology, intelligent monitoring, Internet+, big data.