Abstract

The spectral characteristics of agriculture water can reflect the water quality indirectly. How to observe the spectrum quickly and accurately is basis of evaluating aquaculture water quality by remote sensing technology. Many investigations indicate that the spectrum of several specific bands can reflect some water quality conditions. In this article, a real-time and automatic spectrum observation system is built based on high-precision optical sensor, flash storage technology, GPRS and RS485 wireless data transmission technology to observe the spectrum of specific bands. Through continuous observation of 5 ponds, the data is compared with data measured by ASD spectrometer in bands 680 nm, 700 nm and 769 nm. The data measured by ASD spectrometer is set as the standard value. The accuracy of the data measured by this system is above 98%. The result shows that, this system could take the place of spectrometer to measure the spectrum of specific bands. It can realize remote, real-time data observation.

Highlights

  • IntroductionThe research of water has become more and more important

  • In recent years, the research of water has become more and more important

  • In order to test the performance of the system and evaluate the reliability of the system to observe the water spectrum quantitatively, 5 aquaculture ponds for sturgeon in Beijing are selected as the water observation samples

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Summary

Introduction

The research of water has become more and more important. How to get the water information quickly and accurately is the basic research content of water environment remote sensing [1, 2]. The portable spectrometer is used to observe the spectrum on the surface of the water [3, 4]. Compared with satellite remote sensing or aerial remote sensing, the observation is more mobile and the operation of data is easier. The space scale of this way is lower. The observation program is cumbersome and the real time is poor otherwise [5, 6]. The spectroscopic observation on the surface of the water is the basis of water remote sensing on large-scale water. For small and medium-sized water, it is an effective method [7, 8]

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