Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-06935-x.pdf
Reference77 articles.
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3. Andrew W, Greatwood C, Burghardt TB (2019) Individual friesian cattle recovery and visual identification via an autonomous UAV with Onboard Deep Inference.arXiv 2019, arXiv:1907.05310v1
4. Awad AI (2016) From classical methods to animal biometrics: a review on cattle identification and tracking. Comput Electron Agric 123:423–435
5. Awad AI, Zawbaa HM, Mahmoud HA, Nabi EHHA, Fayed RH, Hassanien AE (2013) A robust cattle identification scheme using muzzle print images. In: Proceeding of the federated conference on computer science and information systems, 529–534
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