Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih

Fish Farming Monitoring System is developed for variety of users such as researchers, fish farmers and others in the area of water quality monitoring to acquire and monitor water quality parameters. Current system mostly used manual data collection and recording method. Thus, these systems are in...

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Main Author: Mohamid Salih, Mohd Badrul Hisham
Format: Student Project
Language:English
Published: Faculty of Information Technology and Quantitative Sciences 2004
Online Access:https://ir.uitm.edu.my/id/eprint/1693/1/PPd_MOHD%20BADRUL%20HISHAM%20M.SALIH%20CS%2004_5.pdf
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author Mohamid Salih, Mohd Badrul Hisham
author_facet Mohamid Salih, Mohd Badrul Hisham
author_sort Mohamid Salih, Mohd Badrul Hisham
collection UITM
description Fish Farming Monitoring System is developed for variety of users such as researchers, fish farmers and others in the area of water quality monitoring to acquire and monitor water quality parameters. Current system mostly used manual data collection and recording method. Thus, these systems are inefficient. Retrieving and storage becomes a problem for water quality related tasks. Beside that, manual sampling method is tedious, time consuming and error-prone. Basically, in this project, water quality related parameters such as pH, water temperature, and ammonia and dissolve oxygen. In this project artificial neural network is being used with the MATLAB function to identify the optimum water quality.
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spelling oai:ir.uitm.edu.my:16932017-03-31T09:16:47Z https://ir.uitm.edu.my/id/eprint/1693/ Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih Mohamid Salih, Mohd Badrul Hisham Fish Farming Monitoring System is developed for variety of users such as researchers, fish farmers and others in the area of water quality monitoring to acquire and monitor water quality parameters. Current system mostly used manual data collection and recording method. Thus, these systems are inefficient. Retrieving and storage becomes a problem for water quality related tasks. Beside that, manual sampling method is tedious, time consuming and error-prone. Basically, in this project, water quality related parameters such as pH, water temperature, and ammonia and dissolve oxygen. In this project artificial neural network is being used with the MATLAB function to identify the optimum water quality. Faculty of Information Technology and Quantitative Sciences 2004 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/1693/1/PPd_MOHD%20BADRUL%20HISHAM%20M.SALIH%20CS%2004_5.pdf Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih. (2004) [Student Project] (Submitted)
spellingShingle Mohamid Salih, Mohd Badrul Hisham
Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih
title Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih
title_full Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih
title_fullStr Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih
title_full_unstemmed Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih
title_short Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih
title_sort fish farming monitoring system mohd badrul hisham mohamid salih
url https://ir.uitm.edu.my/id/eprint/1693/1/PPd_MOHD%20BADRUL%20HISHAM%20M.SALIH%20CS%2004_5.pdf
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