Image-based Estimation of Pelvic Skeletal Key Points of Dairy Cattle by Using Deep Learning-Reference-Cited by-同舟云学术

Image-based Estimation of Pelvic Skeletal Key Points of Dairy Cattle by Using Deep Learning

Published:2024-04-01 Issue:1 Volume:33 Page:59-64
ISSN:0916-9482
Container-title:Agricultural Information Research
language:en
Short-container-title:Agricultural Information Research

Author:

Aoki Mari¹²,Sugiura Ryo²³

Affiliation:

1. Institute of Livestock and Grassland Science, NARO

2. Research Center for Agricultural Information Technology, NARO

3. Hokkaido Agricultural Research Center, NARO

Publisher

Japanese Society of Agricultural Informatics

Link

https://www.jstage.jst.go.jp/article/air/33/1/33_59/_pdf

Reference12 articles.

1. Dziuk, P. J. and R. A. Bellows (1983) Management of Reproduction of Beef-cattle, Sheep and Pigs, Journal of Animal Science, 57 (suppl.2): 355–379.

2. HOKUREN Federation of Agricultural Cooperatives (2022) HOKUREN Livestock Market Aggregate Tables—2022 Holstein first-year calf price—(in Japanese), 〈https://www.kachiku.hokuren.or.jp/AttachedFile.aspx?uid=499〉, browsed on 17 January 2024.

3. Kawahara, T., M. Suzuki and Y. Ikeuchi (1996) Genetic Parameters of Production and Type Traits and Longevity in Holstein Population, Animal Science and Technology, 67 (5): 463–475 (in Japanese with English Summary).

4. Kawahara, T., M. Suzuki and Y. Ikeuchi (1997) Relationship of Functional Longevity with Type Traits in Holsteins, Animal Science and Agriculture Hokkaido, 39: 65–69 (in Japanese).

5. Kawahara, T., Y. Gotoh, T. Baba, S. Yamaguchi and M. Suzuki (2013) Influence of Calving Difficulty on Milk Production Yields, Fertilities, Stillbirth and Economic Effect for Japanese Holsteins, Nihon Chikusan Gakkaiho, 84 (3): 309–317 (in Japanese with English Summary).