Decision tree induction for detection of clinical mastitis using data from six Dutch dairy herds milking with an automatic milking system

C. Kamphuis; H. Mollenhorst; A. Feelders; H. Hogeveen

Decision tree induction for detection of clinical mastitis using data from six Dutch dairy herds milking with an automatic milking system

于Mastitis control

著者：

C. Kamphuis

C. Kamphuis ¹Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Marburglaan 2, 3584 CN, Utrecht, the Netherlands

Search for other papers by C. Kamphuis in
Current site
Google Scholar
PubMed

H. Mollenhorst

H. Mollenhorst ¹Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Marburglaan 2, 3584 CN, Utrecht, the Netherlands

Search for other papers by H. Mollenhorst in
Current site
Google Scholar
PubMed

A. Feelders

A. Feelders ²Department of Information and Computing Sciences, Utrecht University, Padualaan 14, 3508 TB, Utrecht, the Netherlands

Search for other papers by A. Feelders in
Current site
Google Scholar
PubMed

, and

H. Hogeveen

H. Hogeveen ¹Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Marburglaan 2, 3584 CN, Utrecht, the Netherlands
³3Business Economics Group, Wageningen University, Hollandseweg 1, 6706 KN, Wageningen, the Netherlands Corresponding author: C.Kamphuis@uu.nl

Search for other papers by H. Hogeveen in
Current site
Google Scholar
PubMed

类型:: 章节

Page Range:: 267–274

DOI:: https://doi.org/10.3920/9789086866496_049

Purchase instant access (PDF download and unlimited online access):

€42.00€35.00 excl. VAT

Add to Cart

找回访问令牌

This study explored the potential of decision tree induction for the automated detection of clinical mastitis. Sensor data (including electrical conductivity, colour and yield) of over 670,000 quarter milkings were collected from December 2006 till August 2007 at six dairy herds using automatic milking. Farmers recordings of quarter milkings that showed clear clinical signs of mastitis were considered as gold standard positive cases (n=100). Quarter milkings that were not visually checked, that were checked but scored as being normal, and that were outside a 2-week range before or after a gold standard positive case were used as gold standard negative cases. A random sample of 3,000 gold standard negative cases was selected for further analyses. Using 10-fold cross validation, a decision tree algorithm was implemented to estimate the probability of having clinical mastitis for each quarter milking. Parameter settings of the decision tree algorithm were varied to study the effect on sensitivity, specificity, the False Alert rate and the Success Rate. Receiver-operating characteristic curves were constructed to visualise all potential combinations of sensitivity and specificity of different detection models. Although data from the field was used, the rather simple algorithms and the limited time window used for the models to account an alert as true positive, results suggested that decision tree induction has potential for detecting clinical mastitis using sensor data. The default decision tree showed higher sensitivity values for a specificity range of 97 to 100% compared to two alternative trees. By changing the settings it was possible to reach higher levels of sensitivity for specificity values lower than 97%.

引用信息

Save
Cite
Email this content

Share Link

Copy this link, or click below to email it to a friend
Email this content
or copy the link directly:

https://brill.edhh.ma/abstract/book/9789086866496/BP000049.xml
The link was not copied. Your current browser may not support copying via this button.

Link copied successfully

折叠
展开
回到页面顶端

Mastitis control

From science to practice

ISBN:: 9789086866496

出版社:: Wageningen Academic

印刷出版日期:: 30 Oct 2008

Subjects
- Life Sciences

统计数据

	全部期间	过去一年	过去30天
摘要浏览次数	63	24	8
全文浏览次数	0	0	0
PDF下载次数	0	0	0

African Studies	Education	Media Studies
American Studies	History	Middle East and Islamic Studies
Ancient Near East and Egypt	Human Rights and Humanitarian Law	Musicology
Art History	International Law	Philosophy
Asian Studies	International Relations	Religious Studies
Biblical Studies	Jewish Studies	Slavic and Eurasian Studies
Biology	Languages and Linguistics	Social Sciences
Book History and Cartography	Life Sciences	Theology and World Christianity
Classical Studies	Literature and Cultural Studies

Subjects

AppBar-Authors 2025

AppBar-Open Access 2025

AppBar-Product Information 2025

AppBar-Company 2025

AppBar-Contact 2025

Decision tree induction for detection of clinical mastitis using data from six Dutch dairy herds milking with an automatic milking system

引用信息

Share Link

Mastitis control

From science to practice

目录

统计数据

统计数据