| Paper Abstract and Keywords |
| Presentation |
2020-02-27 10:00
Crate Classifiers of Activity Measurement by Automatic learning for Aquaculture
Motonori Saeki, Nobuo Ezaki, Kaito Hattori (NITTC), Osamu Takahashi (ISE C.L), Tatsuhiko Sakamoto (Mie Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In the timer type automatic feeding on sea farming, only a fixed amount can be fed at a time and may occur overfeeding and lack. Therefore, we are developing an automatic feeding system that uses artificial intelligence to supply the optimal amount. The biggest feature is that it introduces the function to take images during feeding, measure the activity of the fish, and stop feeding when not feeding. However, it is necessary to learn the classifier for each raft because the camera angle and the sunshine condition are different depending on the raft. In addition, the position of the swimming fish may change depending on the season, so it is necessary to update the classifier every season. In this study, we propose a mechanism that automatically learns the classifier according to the raft and the season. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
see farming / deep learning / activity measurement / automatically learns / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 6, ME2020-30, pp. 7-11, Feb. 2020. |
| Paper # |
ME2020-30 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
HI IEICE-IE IEICE-ITS MMS ME AIT |
| Conference Date |
2020-02-27 - 2020-02-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2020-02-HI-IE-ITS-MMS-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Crate Classifiers of Activity Measurement by Automatic learning for Aquaculture |
| Sub Title (in English) |
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| Keyword(1) |
see farming |
| Keyword(2) |
deep learning |
| Keyword(3) |
activity measurement |
| Keyword(4) |
automatically learns |
| Keyword(5) |
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| 1st Author's Name |
Motonori Saeki |
| 1st Author's Affiliation |
National Institute of Technology, Toba College (NITTC) |
| 2nd Author's Name |
Nobuo Ezaki |
| 2nd Author's Affiliation |
National Institute of Technology, Toba College (NITTC) |
| 3rd Author's Name |
Kaito Hattori |
| 3rd Author's Affiliation |
National Institute of Technology, Toba College (NITTC) |
| 4th Author's Name |
Osamu Takahashi |
| 4th Author's Affiliation |
ISE Co. Ltd. (ISE C.L) |
| 5th Author's Name |
Tatsuhiko Sakamoto |
| 5th Author's Affiliation |
Mie University (Mie Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2020-02-27 10:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2020-2, HI2020-2, ME2020-30, AIT2020-2 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.6 |
| Page |
pp.7-11 |
| #Pages |
5 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |
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