Pest Analysis System

The purpose of the project was to help farmers catch more litchi pests by implementing a solution to transition from “worker intelligence” to “artificial intelligence.” First, we trained the system identify litchi stink bugs with high precision by using image identification from streaming videos taken by drone, and found the gathering areas and density of litchi stink bugs. Secondly, we coordinated with farmers to airdrop flat-bellied bees (a natural enemy of stink bungs). Finally, we cross-checked the data before and after the prevention and control methods, and measured the effectiveness of the epidemic prevention through data.