Prediction of Biological Oxygen Demand using Artificial Intelligence & Machine Learning

Currently the water pollution in lakes has become a burning issue which has a significant connection with the health and hygiene of the living beings. Much research is going on pertaining to estimation and mitigation of this water pollution. Biological Oxygen Demand (BOD) is known to be one of vario...

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Bibliographic Details
Published in2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) pp. 67 - 71
Main Authors Sunori, Sandeep Kumar, Negi, Pushpa Bhakuni, Rana, Anita, Mittal, Amit, Juneja, Pradeep
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.11.2022
Subjects
Artificial intelligence
Biological system modeling
BOD
Decision tree
GRNN
Lakes
Machine learning
Oxygen
Prediction
Predictive models
Temperature
Water pollution
Water quality
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Summary:Currently the water pollution in lakes has become a burning issue which has a significant connection with the health and hygiene of the living beings. Much research is going on pertaining to estimation and mitigation of this water pollution. Biological Oxygen Demand (BOD) is known to be one of various parameters which are affected by the water pollution. The prediction of the BOD for the assessment of water quality is the subject of this research article. AI and machine learning techniques are used to develop the prediction models, for BOD, in MATLAB.
DOI:10.1109/ICAISS55157.2022.10010948