A Capacitive Pest Detection Approach Based on STM32 Microcontroller

摘要

With the development of grain warehouses, the problem of pest detection and control has received considerable attention. Because of its superiority in variety and quantity, realtime pest monitoring systems play an essential role in grain storages' daily operation and management. Therein, some drawbacks have been reported related to the state-of-art approaches for pest detection, e.g. limited accuracy, time-consuming and high cost. Hence, in this paper, a capacitive pest detection approach based on single-chip microcomputer (STM32) is proposed. Via MATLAB, it can effectively filter noise according to data frequency. The simulation results show that this approach improves the performance of pest recognition both in variety and quantity. Moreover, it simultaneously fulfills the requirements of real-time, accuracy and stability. Theoretically, the proposed approach could be applied to all kinds of grain storages with acceptable revision.