LSTM-Based Prediction of Water Quality Parameters System in Backwaters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Aquaculture provides food security, self-employment, and a sustainable source of income. At the same time, risks involved is very high as the fishermen practice traditional approaches to maintain the culture systems. The unforeseen changes in the water quality parameters may cause mass mortality of fishes leading to economic losses. To address this issue, an experimental investigation is carried out by monitoring water quality parameters in an exsisting aquaculture eco-system. LSTM is utilized to predict the water quality parameters 90 minutes in advance, which provides sufficient time window for fishermen to take appropriate precautions. Performance analysis of three such different LSTMs architecture has been conducted. It has been observed that, the Bi-directional LSTM can better model the dynamic nature of the data. Also, the outliers in the predicted values have been identified by employing Gaussian distribution model. From the experiment, it can be seen the performance of developed outlier detection system is acceptable. The decision support system thus developed, supports the culturists for maintaining the aquaculture eco system in a favorable condition.

Original languageEnglish
Title of host publicationProceedings of CONECCT 2021
Subtitle of host publication7th IEEE International Conference on Electronics, Computing and Communication Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665428491
DOIs
Publication statusPublished - 2021
Event7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021 - Bangalore, India
Duration: 09-07-202111-07-2021

Publication series

NameProceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies

Conference

Conference7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021
Country/TerritoryIndia
CityBangalore
Period09-07-2111-07-21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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