Impact of sensor data pre-processing strategies and selection of machine learning algorithm on the prediction of metritis events in dairy cattle-Reference-Cited by-同舟云学术

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Impact of sensor data pre-processing strategies and selection of machine learning algorithm on the prediction of metritis events in dairy cattle

Published:2023-06 Issue: Volume:215 Page:105903
ISSN:0167-5877
Container-title:Preventive Veterinary Medicine
language:en
Short-container-title:Preventive Veterinary Medicine

Author:

Vidal Gema,Sharpnack James,Pinedo Pablo,Tsai I Ching,Lee Amanda Renee,Martínez-López Beatriz

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Animal Science and Zoology,Food Animals

Reference66 articles.

1. Introduction to Machine Learning;Alpaydin,2010

2. Invited review: Current perspectives on eating and rumination activity in dairy cows;Beauchemin;J. Dairy Sci.,2018

3. Technical note: evaluation of an ear-attached movement sensor to record cow feeding behavior and activity;Bikker;J. Dairy Sci.,2014

4. Pattern Recognition and Machine Learning;Bishop,2006

5. A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors;Borchers;J. Dairy Sci.,2016

Cited by 2 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. Informatics and Dairy Industry Coalition: Artificial Intelligence Trends and Present Challenges;IEEE Industrial Electronics Magazine;2024-06

2. Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor data;Frontiers in Veterinary Science;2023-11-30

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