Computer vision-based weight estimation of livestock: a systematic literature review-Reference-Cited by-同舟云学术

Computer vision-based weight estimation of livestock: a systematic literature review

Published:2021-01-20 Issue: Volume: Page:1-21
ISSN:0028-8233
Container-title:New Zealand Journal of Agricultural Research
language:en
Short-container-title:New Zealand Journal of Agricultural Research

Author:

Dohmen Roel¹,Catal Cagatay²³,Liu Qingzhi¹

Affiliation:

1. Information Technology Group, Wageningen University & Research, Wageningen, the Netherlands

2. Department of Computer Engineering, Bahcesehir University, Istanbul, Turkey

3. Department of Computer Science and Engineering, Qatar University, Doha, Qatar

Publisher

Informa UK Limited

Subject

Plant Science,Soil Science,Agronomy and Crop Science,Animal Science and Zoology

Link

https://www.tandfonline.com/doi/pdf/10.1080/00288233.2021.1876107

Reference48 articles.

1. Anglart D. 2014. Automatic estimation of body weight and body condition score in dairy cows using 3D imaging technique [Master Thesis]. Swedish University of Agricultural Sciences, Faculty of Veterinary Medicine and Animal Science, Department of Animal Nutrition and Management.

2. Technical note: Evaluation of an ear-attached movement sensor to record cow feeding behavior and activity

3. An Intelligent Pig Weights Estimate Method Based on Deep Learning in Sow Stall Environments

4. Automated computer vision system to predict body weight and average daily gain in beef cattle during growing and finishing phases

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