Sichuan Ruijinte Technology has teamed up with Sichuan Agricultural University to develop a smart early-warning system for the Golden Apple Snail. The system leverages AI, big data, and molecular biology to accurately identify this invasive species and predict its spread, revolutionizing pest control efforts.
Dynamic Monitoring - Monitoring and Early Warning System Platform
By integrating data from intelligent Golden Apple Snail monitors with on-site surveys, the system platform automatically synthesizes all information. It then performs spatiotemporal analysis-tracking short-term outbreaks, monitoring medium-term regional spread, and modeling long-term trends with historical climate data-to dynamically issue three levels of alerts (mild, moderate, severe). This enables full-cycle decision-making, from initial detection to predictive forecasting.
Dynamic Monitoring - Intelligent Monitoring Instrument for Golden Apple Snail via Internet of Things
Equipped with capabilities for active trapping, timed photography, and automated identification and counting, the IoT-based Golden Apple Snail monitor delivers the data necessary for a scientific assessment of both control efficacy and area-wide impact.
Dynamic monitoring - Manual on-site investigation
The actual occurrence of Golden Apple Snails across various growth environments was accurately assessed through manual field surveys, statistical sample plots, and snail traps.
