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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Language: | English |
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Faculty of Information Technology and Quantitative Sciences
2004
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Online Access: | http://ir.uitm.edu.my/id/eprint/1693/1/PPd_MOHD%20BADRUL%20HISHAM%20M.SALIH%20CS%2004_5.pdf http://ir.uitm.edu.my/id/eprint/1693/ |
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my.uitm.ir.16932017-03-31T09:16:47Z http://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 http://ir.uitm.edu.my/id/eprint/1693/1/PPd_MOHD%20BADRUL%20HISHAM%20M.SALIH%20CS%2004_5.pdf Mohamid Salih, Mohd Badrul Hisham (2004) Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih. [Student Project] (Submitted) |
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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. |
format |
Student Project |
author |
Mohamid Salih, Mohd Badrul Hisham |
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Mohamid Salih, Mohd Badrul Hisham Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih |
author_facet |
Mohamid Salih, Mohd Badrul Hisham |
author_sort |
Mohamid Salih, Mohd Badrul Hisham |
title |
Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih |
title_short |
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_sort |
fish farming monitoring system / mohd badrul hisham mohamid salih |
publisher |
Faculty of Information Technology and Quantitative Sciences |
publishDate |
2004 |
url |
http://ir.uitm.edu.my/id/eprint/1693/1/PPd_MOHD%20BADRUL%20HISHAM%20M.SALIH%20CS%2004_5.pdf http://ir.uitm.edu.my/id/eprint/1693/ |
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1685648166060294144 |
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13.214268 |