Art
J-GLOBAL ID:202102249438826846   Reference number:21A2526682

Deep Learning and Machine Vision Approaches for Posture Detection of Individual Pigs

個々のブタの姿勢検出のための深層学習とマシンビジョンアプローチ【JST・京大機械翻訳】
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Volume: 19  Issue: 17  Page: 3738  Publication year: 2019 
JST Material Number: U7015A  ISSN: 1424-8220  CODEN: SENSC9  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Posture detection targeted tow...
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Pattern recognition  ,  Artificial intelligence 
Reference (35):
  • Nasirahmadi, A.; Edwards, S.A.; Sturm, B. Implementation of machine vision for detecting behaviour of cattle and pigs. Livestock Sci. 2017, 202, 25-38.
  • Frost, A.R.; Tillett, R.D.; Welch, S.K. The development and evaluation of image analysis procedures for guiding a livestock monitoring sensor placement robot. Comput. Electron. Agric. 2000, 28, 229-242.
  • Matthews, S.G.; Miller, A.L.; Clapp, J.; Plötz, T.; Kyriazakis, I. Early detection of health and welfare compromises through automated detection of behavioural changes in pigs. Vet. J. 2016, 217, 43-51.
  • Olsen, A.W.; Dybkjær, L.; Simonsen, H.B. Behaviour of growing pigs kept in pens with outdoor runs: II. Temperature regulatory behaviour, comfort behaviour and dunging preferences. Livestock Prod. Sci. 2001, 69, 265-278.
  • Kim, J.; Chung, Y.; Choi, Y.; Sa, J.; Kim, H.; Chung, Y.; Park, D.; Kim, H. Depth-Based Detection of Standing-Pigs in Moving Noise Environments. Sensors 2017, 17, 2757.
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