A computer vision approach for recognition of the engagement of pigs with different enrichment objects-Reference-Cited by-同舟云学术

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A computer vision approach for recognition of the engagement of pigs with different enrichment objects

Published:2020-08 Issue: Volume:175 Page:105580
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Chen Chen,Zhu Weixing,Oczak Maciej,Maschat Kristina,Baumgartner Johannes,Larsen Mona Lilian Vestbjerg,Norton Tomas

Funder

National Natural Science Foundation of China

FFoQSI

BMVIT

BMDW

European Union’s Horizon 2020

Marie Skłodowska-Curie

China Scholarship Council

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference30 articles.

1. Playful pigs: evidence of consistency and change in play depending on litter and developmental stage;Brown;Appl. Animal Behav. Sci.,2018

2. Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification;Banerjee;Artif. Intell. Med.,2019

3. Recognition of aggressive episodes of pigs based on convolutional neuralnetwork and long short-term memory;Chen;Comput. Electron. Agric.,2020

4. Long-term recurrent convolutional networks for visual recognition and description;Donahue;IEEE Conf. Comp. Vis. Pattern Recogn.,2015

5. Teeth clipping, tail docking and toy enrichment affect physiological indicators, behaviour and lesions of weaned pigs after re-location and mixing;Fu;Livestock Sci.,2018

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