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Scientific Article

An automated in-line clinical mastitis detection system using measurement of conductivity from foremilk of individual udder quarters

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Pages 208-214 | Received 22 Sep 2008, Accepted 12 May 2009, Published online: 16 Feb 2011

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Glenn Van Steenkiste, Igor Van Den Brulle, Sofie Piepers & Sarne De Vliegher. (2023) In-Line Detection of Clinical Mastitis by Identifying Clots in Milk Using Images and a Neural Network Approach. Animals 13:24, pages 3783.
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Heba S. Farag, Sharif S. Aly, Karima M. Fahim, Adel A. Fayed, Essam M. Abdelfattah, Samah M. El-Sayed, Yamen M. Hegazy & Wagdy R. ElAshmawy. (2023) Management Practices of Bovine Mastitis and Milk Quality on Egyptian Dairies. Veterinary Sciences 10:10, pages 629.
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X. Fan, R.D. Watters, D.V. Nydam, P.D. Virkler, M. Wieland & K.F. Reed. (2023) Multivariable time series classification for clinical mastitis detection and prediction in automated milking systems. Journal of Dairy Science 106:5, pages 3448-3464.
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D. Anglart, U. Emanuelson, L. Rönnegård & C. Hallén Sandgren. (2021) Detecting and predicting changes in milk homogeneity using data from automatic milking systems. Journal of Dairy Science 104:10, pages 11009-11017.
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M. van der Voort, D. Jensen, C. Kamphuis, I.N. Athanasiadis, A. De Vries & H. Hogeveen. (2021) Invited review: Toward a common language in data-driven mastitis detection research. Journal of Dairy Science 104:10, pages 10449-10461.
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C. Hallén Sandgren, D. Anglart, I.C. Klaas, L. Rönnegård & U. Emanuelson. (2021) Homogeneity density scores of quarter milk in automatic milking systems. Journal of Dairy Science 104:9, pages 10121-10130.
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Liliana Fadul-Pacheco, Hector Delgado & Victor E. Cabrera. (2021) Exploring machine learning algorithms for early prediction of clinical mastitis. International Dairy Journal 119, pages 105051.
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A.E. Stone. (2020) Symposium review: The most important factors affecting adoption of precision dairy monitoring technologies. Journal of Dairy Science 103:6, pages 5740-5745.
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Victor E. Cabrera, Jorge A. Barrientos-Blanco, Hector Delgado & Liliana Fadul-Pacheco. (2020) Symposium review: Real-time continuous decision making using big data on dairy farms. Journal of Dairy Science 103:4, pages 3856-3866.
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Fabian Vique, Henry Marichal & Leonardo Steinfeld. (2020) Inline mastitis detection system measuring the electrical conductivity of quarter milk. Inline mastitis detection system measuring the electrical conductivity of quarter milk.
Gunnar Dalen, Amira Rachah, Håvard Nørstebø, Ynte H. Schukken & Olav Reksen. (2019) The detection of intramammary infections using online somatic cell counts. Journal of Dairy Science 102:6, pages 5419-5429.
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John F. Penry. (2018) Mastitis Control in Automatic Milking Systems. Veterinary Clinics of North America: Food Animal Practice 34:3, pages 439-456.
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M. Khatun, P.C. Thomson, K.L. Kerrisk, N.A. Lyons, C.E.F. Clark, J. Molfino & S.C. García. (2018) Development of a new clinical mastitis detection method for automatic milking systems. Journal of Dairy Science 101:10, pages 9385-9395.
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C. Rojo-Gimeno, V. Fievez & E. Wauters. (2018) The economic value of information provided by milk biomarkers under different scenarios: Case-study of an ex-ante analysis of fat-to-protein ratio and fatty acid profile to detect subacute ruminal acidosis in dairy cows. Livestock Science 211, pages 30-41.
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K.N. Dominiak & A.R. Kristensen. (2017) Prioritizing alarms from sensor-based detection models in livestock production - A review on model performance and alarm reducing methods. Computers and Electronics in Agriculture 133, pages 46-67.
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Momena Khatun, Cameron E. F. Clark, Nicolas A. Lyons, Peter C. Thomson, Kendra L. Kerrisk & Sergio C. García. (2017) Early detection of clinical mastitis from electrical conductivity data in an automatic milking system. Animal Production Science 57:7, pages 1226.
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C. Kamphuis, B.T. Dela Rue & C.R. Eastwood. (2016) Field validation of protocols developed to evaluate in-line mastitis detection systems. Journal of Dairy Science 99:2, pages 1619-1631.
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C. Kamphuis, B. Dela Rue, G. Mein & J. Jago. (2013) Development of protocols to evaluate in-line mastitis-detection systems. Journal of Dairy Science 96:6, pages 4047-4058.
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C.J. Rutten, A.G.J. Velthuis, W. Steeneveld & H. Hogeveen. (2013) Invited review: Sensors to support health management on dairy farms. Journal of Dairy Science 96:4, pages 1928-1952.
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H. Mollenhorst, L.J. Rijkaart & H. Hogeveen. (2012) Mastitis alert preferences of farmers milking with automatic milking systems. Journal of Dairy Science 95:5, pages 2523-2530.
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Henk Hogeveen, Claudia Kamphuis, Wilma Steeneveld & Herman Mollenhorst. (2010) Sensors and Clinical Mastitis—The Quest for the Perfect Alert. Sensors 10:9, pages 7991-8009.
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C. Kamphuis, H. Mollenhorst, J.A.P. Heesterbeek & H. Hogeveen. (2010) Detection of clinical mastitis with sensor data from automatic milking systems is improved by using decision-tree induction. Journal of Dairy Science 93:8, pages 3616-3627.
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W. Steeneveld, L.C. van der Gaag, W. Ouweltjes, H. Mollenhorst & H. Hogeveen. (2010) Discriminating between true-positive and false-positive clinical mastitis alerts from automatic milking systems. Journal of Dairy Science 93:6, pages 2559-2568.
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