| Paper Abstract and Keywords |
| Presentation |
2020-02-27 09:45
Fish body measurement by depth estimation for automatic feeding of aquaculture
Kaito Hattori, Nobuo Ezaki, Motonori Saeki (NITTC), Osamu Takahashi (ISE C.L), Tatsuhiko Sakamoto (Mie Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In the automatic feeding system for aquaculture such as red sea snapper and yellowtail, the amount of feed is calculated based on fish weight and water temperature, so it is important to grasp fish weight. However, it is not realistic to use frequently a weighing scale, which is a general method of measuring fish, because it is a task that stresses the fish. Furthermore, it is one of the causes of lowering the commercial value, such as the fish coming into contact with the net and being damaged when they are taken out of the fish cage. Therefore, in this research, we propose a mechanism that can predict the distance to fish using depth estimation by machine learning and measure fish length from single image. As a result, it is possible to always measure fish, and it is expected that the accuracy of calculating the amount of feed will be greatly improved. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Sea Farmers / Aquaculture management / Fish measurement / Artificial intelligence / Depth prediction / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 6, ME2020-29, pp. 1-5, Feb. 2020. |
| Paper # |
ME2020-29 |
| 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) |
Fish body measurement by depth estimation for automatic feeding of aquaculture |
| Sub Title (in English) |
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| Keyword(1) |
Sea Farmers |
| Keyword(2) |
Aquaculture management |
| Keyword(3) |
Fish measurement |
| Keyword(4) |
Artificial intelligence |
| Keyword(5) |
Depth prediction |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Kaito Hattori |
| 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 |
Motonori Saeki |
| 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 09:45:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2020-1, HI2020-1, ME2020-29, AIT2020-1 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.6 |
| Page |
pp.1-5 |
| #Pages |
5 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |
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