Design and implementation of an insect monitoring system based on
Python

Chao Li; Ming Hui Ding; Shuai Shuai Yang; Lei Yue

doi:10.1117/12.3010323

15 November 2023 Design and implementation of an insect monitoring system based on Python

Chao Li, Ming Hui Ding, Shuai Shuai Yang, Lei Yue

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128151C (2023) https://doi.org/10.1117/12.3010323
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

Insect monitoring is vital for grassland management. In recent years, with the rise of the Internet of Things (IoT) technology, there are sufficient conditions for the automation of grassland insect population monitoring. This paper has designed and implemented an insect monitoring system for grassland management based on Python. The system allows 24-hour real-time monitoring of grassland insect populations and supports remote viewing of insect data by managers. The system uses embedded devices to monitor grassland insects in real time by taking pictures and uploading the insect picture information to the server through wireless network for picture processing, identifying and counting the number of insects, and then the insect information is displayed in real time on the information view screen in the server, so that managers can grasp the grassland insect situation remotely in real time. In this paper, through extensive testing, it is shown that the system achieves the insect monitoring function well and has the advantages of easy operation, high execution efficiency, strong stability and good scalability.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chao Li, Ming Hui Ding, Shuai Shuai Yang, and Lei Yue "Design and implementation of an insect monitoring system based on Python", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128151C (15 November 2023); https://doi.org/10.1117/12.3010323

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