Prediction of average daily gain of swine based on machine learning-Reference-Cited by-同舟云学术

Prediction of average daily gain of swine based on machine learning

Published:2019-03-16 Issue:2 Volume:36 Page:923-933
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Lee Woongsup¹,Han Kang-Hwi¹,Kim Hyeon Tae²,Choi Heechul³,Ham Younghwa⁴,Ban Tae-Won¹

Affiliation:

1. Department of Information and Communication Engineering, Institute of Marine Industry, Gyeongsang National University, Tongyeong, Republic of Korea

2. Department of Bio-Industrial Machinery Engineering, Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, Gyeongnam, Republic of Korea

3. Livestock environment division, National Institue of Animal Science, Kongjwipatjwi, lseo, Wanju, JeonBuk, Republic of Korea

4. Agrirobotech Co., Ltd., Sina-ro, Bubal-eup, Icheon-si, Gyeonggi-do, Republic of Korea

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference27 articles.

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3. Application of pig growth models in commercial pork production;De Lange;Canadian Journal of Animal Science,2001

4. Interactive effects of sodium zeolite-a and copper in growing swine: Growth, and bone and tissue mineral concentrations;Ward;Journal of animal science,1991

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