A comparative study of machine learning models for respiration rate prediction in dairy cows: Exploring algorithms, feature engineering, and model interpretation-Reference-Cited by-同舟云学术

A comparative study of machine learning models for respiration rate prediction in dairy cows: Exploring algorithms, feature engineering, and model interpretation

Published:2024-03 Issue: Volume:239 Page:207-230
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Yan Geqi^ORCID,Zhao Wanying^ORCID,Wang Chaoyuan,Shi Zhengxiang^ORCID,Li Hao,Yu Zhenwei,Jiao Hongchao^ORCID,Lin Hai

Funder

China Agricultural University

Publisher

Elsevier BV

Reference59 articles.

1. Thermotolerance indicators related to production and physiological responses to heat stress of holstein cows;Amamou;Journal of Thermal Biology,2019

2. Continuous respiration rate measurement of heat-stressed dairy cows and relation to environment, body temperature, and lying time;Atkins;Transactions of the ASABE,2018

3. Artificial intelligence in animal farming: A systematic literature review;Bao;Journal of Cleaner Production,2022

4. Invited review: Physiological and behavioral effects of heat stress in dairy cows;Becker;Journal of Dairy Science,2020

5. Estimates of heat stress relief needs for Holstein dairy cows;Berman;Journal of Animal Science,2005

Cited by 3 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. A predictive analytics model with Bayesian-Optimized Ensemble Decision Trees for enhanced crop recommendation;Decision Analytics Journal;2024-09

2. Machine learning applications for electrospun nanofibers: a review;Journal of Materials Science;2024-07-30

3. Learning end-to-end respiratory rate prediction of dairy cows from RGB videos;Journal of Dairy Science;2024-07