A non-Restraining Sheep Activity Detection and Surveillance using Deep Machine Learning-Reference-Cited by-同舟云学术

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A non-Restraining Sheep Activity Detection and Surveillance using Deep Machine Learning

Published:2023-12-18 Issue: Volume: Page:66-72
ISSN:
Container-title:2023 16th International Conference on Developments in eSystems Engineering (DeSE)
language:
Short-container-title:

Author:

Ayub Muhammad Yaseen¹,Hussain Abir²,Hassan Muhammad Furqan Ul¹,Khan Bilal³,Khan Farman Ali¹,Al-Jumeily Dhiya⁴,Khan Wasiq⁴

Affiliation:

1. COMSATS University Islamabad,Department of Computer Science,Attock Campus

2. Sharjah University,College of Engineering,UAE

3. California State University,School of Computer Science & Eng,San Bernardino,CA,USA

4. Liverpool John Moores University,Faculty of Engineering & Technology,Liverpool,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468572/10468673/10469582.pdf?arnumber=10469582

Reference30 articles.

1. A short history of livestock production

2. A study on sheep farming practices in relation to future production strategies in Bensa district of Southern Ethiopia

3. Towards a Virtual Fencing System: Training Domestic Sheep Using Audio Stimuli

4. Electric shock control of farmed animals: Welfare review and ethical critique

5. Animal Welfare and the United Nations Sustainable Development Goals

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