Research on Fishery Water Quality Detection System of Unmanned Aerial Vehicle
Journal Title: Advances in Robotics & Mechanical Engineering - Year 2019, Vol 1, Issue 5
Abstract
Many lands in China are close to rivers and oceans and they are very suitable for developing fisheries. Water quality monitoring is indispensable to the development of fisheries. Therefore, a method of detecting, evaluating and predicting fishery water quality using unmanned aerial vehicle electrode sensor array is proposed. The results show that this method can timely monitor fishery water quality and predict the future trend of water quality and improve the detection efficiency. Among the standards for measuring fishery water quality [1], the PH value of fishery water, ammonia nitrogen content, temperature, dissolved oxygen are important data indicators for traditional fish farming, which have a direct impact on fish farming. In the traditional analysis and prediction of fishery water quality, it takes a long time to sample fishery water and then carry out physical and chemical analysis, which will greatly delay the timely management of fishery water and resulting in irreversible losses. Therefore, it is necessary to find a faster, more convenient and reliable method. As far as we know, the electrode electrochemical sensors have the characteristics of fast equivalent circuit network, high selectivity of measurement, the excellent waterproof performance and corrosion resistance. It is an excellent choice for fishery water quality monitoring. At the same time, due to UAV’s [2] high mobility and flexibility, outstanding performance and practical application in the agricultural field, UAV has expanded our thinking of using it in the fishery field. In this paper, we focus on the application of electrodetype chemical water quality sensors in fishery production practice [3], and carry them on the platform, and transmit the data to the cloud database through GPRS network for LSTM [4], in order to achieve more accurate and rapid assessment and prediction of fishery water quality in modern aquaculture.
Authors and Affiliations
Han Cao, Lei Cheng, Xin Wang, Quanmin Zhu
Keywords
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- EP ID EP582425
- DOI 10.32474/ARME.2019.01.000122
- Views 58
- Downloads 0
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