Demand feeding system using image processing program and fish behavior
Fish feeding systems have three methods; manual, automatic and demand feeding. Demand feeding system serves feeds to fish, when fish switch on feeders. Although demand feeding system has advantages, it still has problems, e.g. small number fish occupy the actuation of the feeder switch, and it takes...
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Online Access: | http://irep.iium.edu.my/75975/ http://irep.iium.edu.my/75975/2/30-10-2019%20Icosmap%20%20%20%5B%E8%87%AA%E5%8B%95%E4%BF%9D%E5%AD%98%E6%B8%88%E3%81%BF%5D.pdf http://irep.iium.edu.my/75975/9/%5BO-IT-A4%5D%20Assoc.%20Prof.%20Dr.%20Yukinori%20Mukai.pdf http://irep.iium.edu.my/75975/15/mukai%2024-5-2019%20abstract%20.pdf |
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iium-759752019-11-29T04:17:39Z http://irep.iium.edu.my/75975/ Demand feeding system using image processing program and fish behavior Mukai, Yukinori Taha, Zahari Saad, Shahbudin Nai, Han Tan Ismail, Khairul Muttaqin Arif, Jessnor Mohd Razman, Mohd Azraai Adnan, Faeiz Azizi SH151 Aquaculture - Fish Culture Fish feeding systems have three methods; manual, automatic and demand feeding. Demand feeding system serves feeds to fish, when fish switch on feeders. Although demand feeding system has advantages, it still has problems, e.g. small number fish occupy the actuation of the feeder switch, and it takes long time for fish to learn the feeding system. New type of demand feeding system was develop to solve these problems using fish behaviour and image processing system. At first, behaviour experiment was conducted using the image processing software Roborealm to obtain the optimum parameter for computer program. Through the behaviour experiment, two typical behaviour patterns were detected. When fish was hungry, fish group came to the water surface (H: parameter >63%), and when fish was not hungry, fish came to bottom (L: <45%) of fish tank. These two parameters were obtained and were put into the computer program in the workstation. HD Wi-Fi camera continuously recorded the real time fish behaviour in fish tank, and when fish group came to above the “H”, then the command was sent from workstation to microcomputer to send the order to feeding device to feed on. The results of feeding experiment showed this system could provide pellets to fish day and night time equally following fish behaviour. This feeding system could provide the pellets to fish based on fish requirements. Thus, this system has a potential to realize sustainable aquaculture. 2019-10-30 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/75975/2/30-10-2019%20Icosmap%20%20%20%5B%E8%87%AA%E5%8B%95%E4%BF%9D%E5%AD%98%E6%B8%88%E3%81%BF%5D.pdf application/pdf en http://irep.iium.edu.my/75975/9/%5BO-IT-A4%5D%20Assoc.%20Prof.%20Dr.%20Yukinori%20Mukai.pdf application/pdf en http://irep.iium.edu.my/75975/15/mukai%2024-5-2019%20abstract%20.pdf Mukai, Yukinori and Taha, Zahari and Saad, Shahbudin and Nai, Han Tan and Ismail, Khairul Muttaqin and Arif, Jessnor and Mohd Razman, Mohd Azraai and Adnan, Faeiz Azizi (2019) Demand feeding system using image processing program and fish behavior. In: International Conference on Oceanography and Sustainable Marine Production: Local and Global Challenges (ICOSMaP 2019), 29-31 October 2019, Vistana Hotel, Kuantan, Pahang Malaysia. |
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English English English |
topic |
SH151 Aquaculture - Fish Culture |
spellingShingle |
SH151 Aquaculture - Fish Culture Mukai, Yukinori Taha, Zahari Saad, Shahbudin Nai, Han Tan Ismail, Khairul Muttaqin Arif, Jessnor Mohd Razman, Mohd Azraai Adnan, Faeiz Azizi Demand feeding system using image processing program and fish behavior |
description |
Fish feeding systems have three methods; manual, automatic and demand feeding. Demand feeding system serves feeds to fish, when fish switch on feeders. Although demand feeding system has advantages, it still has problems, e.g. small number fish occupy the actuation of the feeder switch, and it takes long time for fish to learn the feeding system. New type of demand feeding system was develop to solve these problems using fish behaviour and image processing system. At first, behaviour experiment was conducted using the image processing software Roborealm to obtain the optimum parameter for computer program. Through the behaviour experiment, two typical behaviour patterns were detected. When fish was hungry, fish group came to the water surface (H: parameter >63%), and when fish was not hungry, fish came to bottom (L: <45%) of fish tank. These two parameters were obtained and were put into the computer
program in the workstation. HD Wi-Fi camera continuously recorded the real time fish behaviour in fish tank, and when fish group came to above the “H”, then the command
was sent from workstation to microcomputer to send the order to feeding device to feed on. The results of feeding experiment showed this system could provide pellets to fish
day and night time equally following fish behaviour. This feeding system could provide the pellets to fish based on fish requirements. Thus, this system has a potential to realize
sustainable aquaculture. |
format |
Conference or Workshop Item |
author |
Mukai, Yukinori Taha, Zahari Saad, Shahbudin Nai, Han Tan Ismail, Khairul Muttaqin Arif, Jessnor Mohd Razman, Mohd Azraai Adnan, Faeiz Azizi |
author_facet |
Mukai, Yukinori Taha, Zahari Saad, Shahbudin Nai, Han Tan Ismail, Khairul Muttaqin Arif, Jessnor Mohd Razman, Mohd Azraai Adnan, Faeiz Azizi |
author_sort |
Mukai, Yukinori |
title |
Demand feeding system using image processing program and
fish behavior |
title_short |
Demand feeding system using image processing program and
fish behavior |
title_full |
Demand feeding system using image processing program and
fish behavior |
title_fullStr |
Demand feeding system using image processing program and
fish behavior |
title_full_unstemmed |
Demand feeding system using image processing program and
fish behavior |
title_sort |
demand feeding system using image processing program and
fish behavior |
publishDate |
2019 |
url |
http://irep.iium.edu.my/75975/ http://irep.iium.edu.my/75975/2/30-10-2019%20Icosmap%20%20%20%5B%E8%87%AA%E5%8B%95%E4%BF%9D%E5%AD%98%E6%B8%88%E3%81%BF%5D.pdf http://irep.iium.edu.my/75975/9/%5BO-IT-A4%5D%20Assoc.%20Prof.%20Dr.%20Yukinori%20Mukai.pdf http://irep.iium.edu.my/75975/15/mukai%2024-5-2019%20abstract%20.pdf |
first_indexed |
2023-09-18T21:47:26Z |
last_indexed |
2023-09-18T21:47:26Z |
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1777413544348745728 |