Design and Implementation of Water Spectrum Observation System for Aquaculture Pond
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.
KeywordsWater Spectrum Observation Optical Sensor
- 4.Sakuno, Y., Hatakeyama, K., Miyamoto, Y., Hatsuda, A., et al.: Relationship between spectral reflectance and chlorophyll-a concentration in the eutrophic Lake Togo-ike. In: Proceedings of SPIE - The International Society of Optics and Photonics, vol. 9240, pp. 92400H–92400H-7 (2014)Google Scholar
- 10.Wei, K.L., Wen, Z.Y., Wu, X., et al.: Research advances in water quality monitoring technology based on UV-Vis spectrum analysis. Spectrosc. Spectral Anal. 31(4), 1074 (2011)Google Scholar
- 11.Liu, Z.: Application of a water quality monitoring instrument based on UV-vis spectroscopy. Water Resour. Prot. (2008)Google Scholar
- 12.Mittenzwey, K.H., Gitel’Son, A.A., Lopatchenko, A.A., et al.: In-situ monitoring of water quality on the basis of spectral reflectance. Ship-borne experiments for the development of remote sensing algorithms especially for the estimation of algae content in natural waters. Internationale Revue Der Gesamten Hydrobiologie Und Hydrographie 73(1), 61–72 (1988)CrossRefGoogle Scholar
- 14.Gong, C.L., Yin, Q., Kuang, D.B., et al.: Study on the spectral reflectivity models of different water quality parameters in Huangpu river. J. Infrared Millimeter Waves 25(4), 282–286 (2006)Google Scholar