Research graph
References from Automating the classification of dairy cow productivity groups using interpretable machine learning. Local targets link to admitted publications; unresolved targets remain external evidence.
10.5433/1679-0359.2020v41n6p2833
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Modeling variability of the lactation curves of cows in automated milking systems
10.3168/jds.2019-17962 · 2020 · External reference
Automatic milking systems, farm size, and milk production
10.3168/jds.s0022-0302(03)74032-6 · 2003 · External reference
Precision livestock farming applied to the dairy sector: 50 years of history with a text mining and topic analysis approach
2025 · External reference
Invited review: the impact of automatic milking systems on dairy cow management, behavior, health, and welfare
10.3168/jds.2011-4943 · 2012 · External reference
Forecasting milk delivery to dairy: how modern statistical and machine learning methods can contribute
10.1016/j.eswa.2024.123475 · 2024 · External reference
Machine learning: trends, perspectives, and prospects
10.1126/science.aaa8415 · 2015 · External reference
Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8
2025 · External reference
A machine learning framework to predict the next month’s daily milk yield, milk composition and milking frequency for cows in a robotic dairy farm
10.1016/j.biosystemseng.2022.02.013 · 2022 · External reference
Prediction of lactational milk yield of cows based on data recorded by ams during the periparturient period
10.3390/ani11020383 · 2021 · External reference
A viable data driven method for the assessment of the productivity level of dairy cows in future lactations
10.1016/j.compag.2024.109860 · 2025 · External reference
Multi-algorithm clustering analysis for characterizing cow productivity on automatic milking systems over lactation periods
10.1016/j.compag.2023.108002 · 2023 · External reference
Assessing the stability of herd productivity groups across lactation periods in automatic milking systems using multi-algorithm clustering
10.1016/j.compag.2025.110295 · 2025 · External reference
Review: applications and benefits of sexed semen in dairy and beef herds
10.1017/s1751731118000721 · 2018 · External reference
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Interpretable AI: building explainable machine learning systems
2022 · External reference
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A comparison of structural complexity metrics for explainable genetic programming
2023 · External reference
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2018 · External reference
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10.1109/tetci.2024.3369407 · 2024 · External reference
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10.1080/09540091.2022.2049702 · 2022 · External reference
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2022 · External reference
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2021 · External reference
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2018 · External reference
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10.1145/3635301 · 2024 · External reference
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Analysis of milking characteristics in new zealand dairy cows
10.3168/jds.2013-7051 · 2014 · External reference
Milk composition and production efficiency within feed-to-yield systems on commercial dairy farms in Northern Ireland
10.3390/ani12141771 · 2022 · External reference
Genetic parameters estimation of milking traits in polish holstein-friesians based on automatic milking system data
10.3390/ani11071943 · 2021 · External reference
Feasibility of using automatic milking system data from commercial herds for genetic analysis of milkability
10.3168/jds.2012-6221 · 2013 · External reference
Effect of milking frequency on the behavior and productivity of lactating dairy cows
10.3168/jds.2013-6764 · 2013 · External reference
Randomized-controlled study assessing the effect of milking permission settings and concentrate supplementation on milking frequency and milk yield in a pasture-based automatic milking system
10.3168/jds.2024-24689 · 2024 · External reference
Milk composition of holstein cows: a retrospective study
10.1590/0103-8478cr20180123 · 2018 · External reference
