A comparative study of machine learning methods: A case study of weight and growth of livestock-Reference-Cited by-同舟云学术

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A comparative study of machine learning methods: A case study of weight and growth of livestock

Published:2023-11-22 Issue: Volume:4 Page:1-7
ISSN:
Container-title:2023 IEEE Engineering Informatics
language:
Short-container-title:

Author:

Awasthi Tek Raj¹,Morshed Ahsan²,Swain Dave¹

Affiliation:

1. School of Health, Medical and Applied Sciences, Central Queensland University,Rockhampton,Australia

2. School of Engineering and Technology, Central Queensland University,Melbourne,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10520249/10520342/10520498.pdf?arnumber=10520498

Reference26 articles.

1. Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle

2. Cattle weight estimation using active contour models and regression trees Bagging

3. Calf Birth Weight Predicted Remotely Using Automated in-Paddock Weighing Technology

4. Automated body weight prediction of dairy cows using 3-dimensional vision

5. Evaluating a Walk-over-Weighing system for the automatic monitoring of growth in postweaned Mérinos d’Arles ewe lambs under Mediterranean grazing conditions

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. Impact of Weighing Frequency on the Determination of Daily Weights of Cattle;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

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