A computer vision-based approach for behavior recognition of gestating sows fed different fiber levels during high ambient temperature

A computer vision-based approach for behavior recognition of gestating sows fed different fiber levels during high ambient temperature

The objectives of this study were to evaluate convolutional neural network models and computer vision techniques for the classification of swine posture with high accuracy and to use the derived result in the investigation of the effect of...

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Bibliographic Details
Main Authors: Payam Hosseinzadeh Kasani, Seung Min Oh, Yo Han Choi, Sang Hun Ha, Hyungmin Jun, Kyu Hyun Park, Han Seo Ko, Jo Eun Kim, Jung Woo Choi, Eun Seok Cho, Jin Soo Kim
Format: Article
Language:English
Published: Korean Society of Animal Sciences and Technology 2021-03-01
Series:Journal of Animal Science and Technology
Subjects:
convolutional neural network
dietary fiber
heat stress
machine learning
sows
Online Access:http://www.ejast.org/archive/view_article?pid=jast-63-2-367

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