Articles with public access mandates - Martin Green - UK Research & InnovationLearn more
Not available based on mandate: 1
Accurate prediction of calving in dairy cows by applying feature engineering and machine learning
JA Vázquez-Diosdado, J Gruhier, GG Miguel-Pacheco, M Green, ...
Preventive Veterinary Medicine 219, 106007, 2023
Available based on mandate: 8
Prediction of Streptococcus uberis clinical mastitis risk using Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) in dairy herds
SC Archer, AJ Bradley, S Cooper, PL Davies, MJ Green
Preventive veterinary medicine 144, 1-6, 2017
Developing and evaluating threshold-based algorithms to detect drinking behavior in dairy cows using reticulorumen temperature
JA Vázquez-Diosdado, GG Miguel-Pacheco, B Plant, T Dottorini, M Green, ...
Journal of dairy science 102 (11), 10471-10482, 2019
Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis
N Esener, A Maciel-Guerra, K Giebel, D Lea, MJ Green, AJ Bradley, ...
PLoS computational biology 17 (6), e1009108, 2021
Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning
A Maciel-Guerra, N Esener, K Giebel, D Lea, MJ Green, AJ Bradley, ...
Scientific Reports 11 (1), 7736, 2021
Identification of Predictive Biomarkers of Lameness in Transition Dairy Cows
AS Cardoso, A Whitby, MJ Green, DH Kim, LV Randall
Animals 14 (14), 2030, 2024
Using Object-Oriented Simulation to Assess the Impact of the Frequency and Accuracy of Mobility Scoring on the Estimation of Epidemiological Parameters for Lameness in Dairy Herds
R Clifton, R Hyde, E Can, M Barden, A Manning, A Bradley, M Green, ...
Animals 14 (12), 1760, 2024
The use of machine learning to predict somatic cell count status in dairy cows post-calving
JS Thompson, MJ Green, R Hyde, AJ Bradley, L O’Grady
Frontiers in Veterinary Science 10, 1297750, 2023
Developing and evaluating threshold-based algorithms to detect drinking behavior in dairy cows using reticulorumen temperature
GG Miguel-Pacheco, B Plant, T Dottorini, M Green, J Kaler
Journal of Dairy Science 102 (11), 2019
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