Articles citing this paper
Prediction of quarter level subclinical mastitis by combining in-line and on-animal sensor data
Momena Khatun A B C , Peter C. Thomson A , Cameron E. F. Clark A and Sergio C. García A
+ Author Affiliations
- Author Affiliations
A Dairy Science Group, Faculty of Science, School of Life and Environmental Sciences, Sydney Institute of Agriculture, The University of Sydney, Camden, NSW 2570, Australia.
B Bangladesh Agricultural University, Mymensingh 2202, Bangladesh.
C Corresponding author. Email: mkha3293@uni.sydney.edu.au
Animal Production Science 60(1) 180-186 https://doi.org/10.1071/AN18578
Submitted: 9 September 2018 Accepted: 1 July 2019 Published: 2 December 2019
3 articles found in Crossref database.
Selection for Favorable Health Traits: A Potential Approach to Cope with Diseases in Farm Animals
Hu Guoyu,
Do Duy Ngoc,
Gray Janine, Miar Younes
Animals. 2020 10(9). p.1717
Forecasting chronic mastitis using automatic milking system sensor data and gradient-boosting classifiers
Bonestroo John,
Voort Mariska van der,
Hogeveen Henk,
Emanuelson Ulf,
Klaas Ilka Christine, Fall Nils
Computers and Electronics in Agriculture. 2022 198 p.107002
Financial customer classification by combined model
Lin Cong, Zheng Jinju
Applied Mathematics and Nonlinear Sciences. 2023 8(2). p.431
