Recognition of Cattle Using Face Images-Reference-Cited by-同舟云学术

Recognition of Cattle Using Face Images

Published:2017 Issue: Volume: Page:79-110
ISSN:
Container-title:Animal Biometrics
language:
Short-container-title:

Author:

Kumar Santosh,Singh Sanjay Kumar,Singh Rishav,Singh Amit Kumar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7956-6_3

Reference56 articles.

1. Wagyu Registry Association. (2009). The handbook for Wagyu registration. Kyoto: Wagyu Registry Association.

2. Robb, J. G., & Rosa, E. L. (2004). Some issues related to beef traceability: Transforming cattle into beef in the United States. In US livestock identification systems: Risk management and market opportunities (p. 7). Tucson, AZ: Western Extension Marketing Committee.

3. Graziano, J. F. (1982). da Silva. A Modernização Dolorosa. Zahar: Rio de Janeiro.

4. Kühl, H. S., & Burghardt, T. (2013). Animal biometrics: quantifying and detecting phenotypic appearance. Trends in ecology & evolution, 28(7), 432–441.

5. Burghardt, T. (2008). Visual animal biometrics: Automatic detection and individual identification by coat pattern. Doctoral dissertation. University of Bristol.

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