A machine vision system to detect and count laying hens in battery cages

Author:

Geffen O.ORCID,Yitzhaky Y.,Barchilon N.,Druyan S.,Halachmi I.

Publisher

Elsevier BV

Subject

Animal Science and Zoology

Reference18 articles.

1. Andrew W, Greatwood C and Burghardt T 2017. Visual localisation and individual identification of Holstein Friesian cattle via deep learning. In Proceedings of the 16th IEEE International Conference on Computer Vision, 22–29 October 2017, Venice, Italy, pp. 2850–2859.

2. Development of an early detection system for lameness of broilers using computer vision;Aydin;Computers and Electronics in Agriculture,2017

3. Berckmans D 2006. Livestock production and society. In Automatic on-line monitoring of animals by precision livestock farming (ed. R Geers and F Madec), pp 287–294. Wageningen Academic Publishers, Wageningen, The Netherlands.

4. Using video image analysis to count hens in cages and reduce egg breakage on collection belts;Cronin;Australian Journal of Experimental Agriculture,2008

5. Dunn MT 2007. Applications of vision sensing in agriculture. PhD Thesis, University of Southern Queensland, Toowoomba, Australia.

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