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FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival

This paper discusses the development of an analytical system to monitor the survival of shrimp at the iKERPAN fully integrated aquaculture park, located at the Kuala Kerpan, Kedah. The iKERPAN has to deal with the White Spot Syndrome Virus, a kind or shrimp disease which affects the productions of t...

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Main Authors: Aziz, Nazrina, Misiran, Masnita, Mahat, Nor Idayu, Mat Yusof, Muhammad, Ruddin, Amir Shah, Razi, Mohd Afiq
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/24248/1/NCKT16%20%202016%20128%20133.pdf
http://repo.uum.edu.my/24248/
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spelling my.uum.repo.242482018-06-04T01:24:13Z http://repo.uum.edu.my/24248/ FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival Aziz, Nazrina Misiran, Masnita Mahat, Nor Idayu Mat Yusof, Muhammad Ruddin, Amir Shah Razi, Mohd Afiq QA75 Electronic computers. Computer science This paper discusses the development of an analytical system to monitor the survival of shrimp at the iKERPAN fully integrated aquaculture park, located at the Kuala Kerpan, Kedah. The iKERPAN has to deal with the White Spot Syndrome Virus, a kind or shrimp disease which affects the productions of the farm.The farm performs daily data collections, but the data are underutilized due to incapability of people to transform the data into much informative for quick decision makings.Thus, the goal of transferring knowledge of an analytical system is to assist the people to identify some problems that may harm the production of shrimp in systematic ways. The developed analytical system was developed in three main phases.Phase I involved several round table discussion among researchers to recognise the loopholes in data collection procedures and the analyses that had been practices.Next, extensive analytical system was performed in Phase II by transforming all the needed analyses and reports into a dashboard created using an Excel platform to allow for greater evidence based numerical analyses in much lower cost. Finally, series of testing were performed in Phase III to assess the reliability of the developed system in conjunction to the ultimate goal for identifying potential of occurrence of White Spot Syndrome Virus in production of shrimp.The developed dashboard is capable to gather all the needed information from the collected data in much systematic way and quick for review. Besides, it assists the production people to recognise an early signal for potential harm starting from the hatching process until the harvest period for every pond at the iKERPAN. 2016-11-30 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/24248/1/NCKT16%20%202016%20128%20133.pdf Aziz, Nazrina and Misiran, Masnita and Mahat, Nor Idayu and Mat Yusof, Muhammad and Ruddin, Amir Shah and Razi, Mohd Afiq (2016) FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival. In: 3 rd National Conference on Knowledge Transfer, 2016,, 30 Nov - 1 Dec 2016, Penang, Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Aziz, Nazrina
Misiran, Masnita
Mahat, Nor Idayu
Mat Yusof, Muhammad
Ruddin, Amir Shah
Razi, Mohd Afiq
FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival
description This paper discusses the development of an analytical system to monitor the survival of shrimp at the iKERPAN fully integrated aquaculture park, located at the Kuala Kerpan, Kedah. The iKERPAN has to deal with the White Spot Syndrome Virus, a kind or shrimp disease which affects the productions of the farm.The farm performs daily data collections, but the data are underutilized due to incapability of people to transform the data into much informative for quick decision makings.Thus, the goal of transferring knowledge of an analytical system is to assist the people to identify some problems that may harm the production of shrimp in systematic ways. The developed analytical system was developed in three main phases.Phase I involved several round table discussion among researchers to recognise the loopholes in data collection procedures and the analyses that had been practices.Next, extensive analytical system was performed in Phase II by transforming all the needed analyses and reports into a dashboard created using an Excel platform to allow for greater evidence based numerical analyses in much lower cost. Finally, series of testing were performed in Phase III to assess the reliability of the developed system in conjunction to the ultimate goal for identifying potential of occurrence of White Spot Syndrome Virus in production of shrimp.The developed dashboard is capable to gather all the needed information from the collected data in much systematic way and quick for review. Besides, it assists the production people to recognise an early signal for potential harm starting from the hatching process until the harvest period for every pond at the iKERPAN.
format Conference or Workshop Item
author Aziz, Nazrina
Misiran, Masnita
Mahat, Nor Idayu
Mat Yusof, Muhammad
Ruddin, Amir Shah
Razi, Mohd Afiq
author_facet Aziz, Nazrina
Misiran, Masnita
Mahat, Nor Idayu
Mat Yusof, Muhammad
Ruddin, Amir Shah
Razi, Mohd Afiq
author_sort Aziz, Nazrina
title FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival
title_short FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival
title_full FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival
title_fullStr FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival
title_full_unstemmed FIECO-R4-101: Development of Hazard Detection System for Shrimp Survival
title_sort fieco-r4-101: development of hazard detection system for shrimp survival
publishDate 2016
url http://repo.uum.edu.my/24248/1/NCKT16%20%202016%20128%20133.pdf
http://repo.uum.edu.my/24248/
_version_ 1644284005323898880
score 13.211869

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