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has been cited by the following article:

• TITLE: Design of Li River Water Quality Dynamic Monitoring System Based on Raspberry Pi and TinyML

  AUTHORS: Xinyi Tang

  KEYWORDS: Raspberry Pi, Sensors, YOLO-Tiny Model, Cloud Development

  JOURNAL NAME: Journal of Computer and Communications, Vol.11 No.8, August 29, 2023

  ABSTRACT: In order to solve the problem of scientific monitoring of water quality, a trophic monitoring system for Li River water quality is developed to improve the decision-making of related environmental management departments. The system is based on embedded computing, deep learning and Internet of Things technology, combined with software and hardware design, to automatically obtain real-time water quality parameters with Raspberry Pi equipped with sensors and positioning modules. A camera is employed to capture the screen, and yolo-tiny image recognition is implemented in the Raspberry Pi. Lastly, the cloud storage is used for interaction to realize real-time monitoring of water quality, real-time positioning of the boat, real-time return of image recognition and visualization. The system is proven efficient and intelligent in facilitating water quality protection.