NDLI: Intelligent monitoring method of water quality based on image processing and RVFL-GMDH model

Content Provider	IET Digital Library
Author	Chen, Junde Zhang, Defu Yang, Shuangyuan Nanehkaran, Yaser Ahangari
Abstract	The water quality, contaminant migration characteristics, and emissions quantity of pollutants in the basin would have a great impact on aquatic creatures, agricultural irrigation, human life, and so on. In the aquaculture industry, because water colour can reflect the species and number of phytoplankton in the water, the water quality type can be obtained by analysing the colour of the aquaculture water using image processing techniques. Therefore, this study proposes an intelligent monitoring approach for water quality. The critical features of water colour images are extracted, and then using the machine learning methods, an intelligent system for water quality monitoring is established based on the fused random vector functional link network (RVFL) and group method of data handling (GMDH) model. The proposed approach presents a superior performance relative to other state-of-the-art methods, and it achieves an average predicting accuracy of 96.19% on the feature dataset. Experimental findings demonstrate the validity of the proposed approach, and it is accomplished efficiently for the monitoring of water quality.
Starting Page	4646
Ending Page	4656
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 17, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.0254
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/17
Journal	IET Image Processing
Publisher Date	2021-01-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Agriculture Aquaculture Aquaculture Water Computer Vision And Image Processing Technique Data Handling Data Handling Technique Environmental Monitoring (geophysics) Environmental Science Computing Feature Extraction Fisheries Computing Forestry Image Colour Analysis Image Fusion Image Processing Technique Intelligent Monitoring Approach Intelligent Monitoring Method Learning in AI Optical, Image And Video Signal Processing Sensor Fusion Water Colour Image Water Quality Water Quality Monitoring Water Quality Type
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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