Biometric-based Unique Identification for Bovine Animals — Comparative Study of Various Machine and Deep Learning Computer Vision Methods-Reference-Cited by-同舟云学术

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Biometric-based Unique Identification for Bovine Animals — Comparative Study of Various Machine and Deep Learning Computer Vision Methods

Published:2023-03-24 Issue: Volume: Page:
ISSN:
Container-title:2023 Somaiya International Conference on Technology and Information Management (SICTIM)
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Author:

Patel Neel¹,Jain Harshal²,Lonkar Vaibhav Sadashiv³,Singh Dineshkumar⁴

Affiliation:

1. Digital Farming Initiative (DFI) Tata Consultancy Services Ltd. (TCS),Ahmedabad,India

2. Digital Farming Initiative (DFI) Tata Consultancy Services Ltd. (TCS),Indore,India

3. Digital Farming Initiative (DFI) Tata Consultancy Services Ltd. (TCS),Pune,India

4. Digital Farming Initiative (DFI) Tata Consultancy Services Ltd. (TCS),Mumbai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104521/10104656/10105004.pdf?arnumber=10105004

Reference18 articles.

1. Random sample consensus

2. A robust cattle identification scheme using muzzle print images;awad;2013 Federated Conference on Computer Science and Information Systems,2013

3. Breed differences and intra-breed genetic variability of dermatoglyphic pattern of cattle

4. Biometric cattle identification approach based on Weber’s Local Descriptor and AdaBoost classifier

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mobile App for Muzzle Pattern Recognition for Cattle Identification Using Feature Extraction;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

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