Assessment and prediction of fishery water quality using electrochemical sensor array carried by UAV

Abstract

Traditional fishery water assessment and prediction rely on collecting water samples and sending them to inspection in different time periods, and then carrying out physical and chemical analysis and testing, it requires a long period and consumes more human resources, which is not only cumbersome but also inefficient. Aiming at the above problems, a method for assessing and predicting fishery water quality using electrochemical sensor array such as pH, dissolved oxygen and ammonia nitrogen carried by unmanned aerial vehicle (UAV) is proposed. The T-shaped floating structure of the UAV can realize the take-off and landing of water surface. The sensors in the structure carry out real-time detection in the process of UAV floating. The sensor data is transmitted to the server backstage by wireless network. Then the time series analysis is applied to assess and predict the water quality data. Finally, the conclusion is displayed on the application program. The results show that the scheme can assess fishery water quality efficiently and has high prediction accuracy (95.1%).