Calving prediction from video: Exploiting behavioural information relevant to calving signs in Japanese black beef cows

K. Sugawara, S. Saito, T. Nakano, M. Akabane, T. Kobayashi, T. Ogawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Behavioural information relevant to calving is extracted and exploited successfully for automatic calving prediction from videos. Calving prediction is key for preventing fatal accidents such as stillbirth and dystocia. Such a prediction has been performed using contact sensors to capture a cow's typical movements before calving. However, directly attaching sensors to a cow's body is not desirable from the viewpoint of animal welfare, economic load, and safety for livestock farmers. This paper presents a camera-based, noncontact calving prediction system that captures typical precalving movements such as rotations, turns and step-backs. The information on the frequency of such behaviours and that on the frequency of changes in the behaviours are extracted every few minutes using deep neural networks and used as inputs to a calving predictor based on support vector machines. Experimental comparisons conducted using the videos of four Japanese black beef cows of normal and precalving statuses demonstrated that the system developed with five cows' videos achieved a precision rate of 97% and a recall rate of 82% for a cow that was active before calving.

Original languageEnglish
Title of host publicationPrecision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019
EditorsBernadette O'Brien, Deirdre Hennessy, Laurence Shalloo
PublisherOrganising Committee of the 9th European Conference on Precision Livestock Farming (ECPLF), Teagasc, Animal and Grassland Research and Innovation Centre
Pages663-669
Number of pages7
ISBN (Electronic)9781841706542
Publication statusPublished - 2019
Event9th European Conference on Precision Livestock Farming, ECPLF 2019 - Cork, Ireland
Duration: 2019 Aug 262019 Aug 29

Publication series

NamePrecision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019

Conference

Conference9th European Conference on Precision Livestock Farming, ECPLF 2019
CountryIreland
CityCork
Period19/8/2619/8/29

Keywords

  • Behavioural features
  • Calving prediction
  • Deep neural network
  • Precision livestock farming

ASJC Scopus subject areas

  • Animal Science and Zoology

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  • Cite this

    Sugawara, K., Saito, S., Nakano, T., Akabane, M., Kobayashi, T., & Ogawa, T. (2019). Calving prediction from video: Exploiting behavioural information relevant to calving signs in Japanese black beef cows. In B. O'Brien, D. Hennessy, & L. Shalloo (Eds.), Precision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019 (pp. 663-669). (Precision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019). Organising Committee of the 9th European Conference on Precision Livestock Farming (ECPLF), Teagasc, Animal and Grassland Research and Innovation Centre.