MARC details
| 000 -LEADER |
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| fixed length control field |
02617nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ZW-GwMSU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20241213100418.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
241213b |||||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
00218596 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
MSU |
| Language of cataloging |
English |
| Transcribing agency |
MSU |
| Description conventions |
rda |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
S3 JOU |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Miekley, Bettina |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
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| Title |
Mastitis detection in dairy cows: the application of support vector machines/ |
| Statement of responsibility, etc. |
created by Bettina Miekley, I. Traulsen and J. Krieter |
| 264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Cambridge : |
| Name of producer, publisher, distributor, manufacturer |
Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2013. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
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| Title |
Journal of agricultural sciences |
| Volume/sequential designation |
Volume 151, number 6, |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
The current investigation analysed the applicability of support vector machines (SVMs), a sub-discipline in the field of artificial intelligence, for the early detection of mastitis. Data used were recorded on the Karkendamm dairy research farm (Kiel, Germany) between January 2010 and December 2011. Data from 215 cows in their first 200 days in milk (DIM) were analysed. Mastitis was specified according to veterinary treatments and defined as disease blocks. The two different definitions used varied solely in the sequence length of the blocks. Only the days before the treatment were included in the blocks. The following parameters were used for the recognition of mastitis: milk electrical conductivity (MEC), milk yield (MY), stage of lactation, month, mastitis history during lactation, deviation from the 5-day moving average of MEC as well as MY, and the 5-day moving standard deviations of the same traits. To develop and verify the model of the SVMs, the mastitis dataset was divided into training and test datasets. Support vector machines are tools for statistical pattern recognition, focusing on algorithms capable of learning and adapting the structure of the input parameters based on the training dataset. The results show that the block sensitivity of mastitis detection considering both mastitis definitions was 84·6%, while specificity was 71·6 and 78·3%, respectively. Showing feasible features for pattern recognition of biological data, SVMs can principally be applied for disease detection. However, without further performance improvement or different study settings (e.g. other indicator variables) SVMs cannot be easily implemented into practical usage. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Dairy cattle |
| Form subdivision |
Support vector machine |
| General subdivision |
Mastitis |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Traulsen, I |
| Relator term |
co author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Krieter, J. |
| Relator term |
co author |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://doi.org/10.1017/S0021859613000178 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Journal Article |