The performance of different algorithms for classification of cows whether they have infectious lameness or non-infectious lameness condition among the diseased cows.

<p>Conventional feature model consisted of the three accelerometer derived variables i.e., daily lying, daily steps and daily change; Slope feature model included 7 day rolling deviation of each of these variables; All feature model included variables included in Conventional feature and Slope...

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Bibliographic Details
Main Author:	Rajesh Neupane (19173436) (author)
Other Authors:	Ashrant Aryal (19173439) (author), Angelika Haeussermann (19173442) (author), Eberhard Hartung (9499775) (author), Pablo Pinedo (4836843) (author), Sushil Paudyal (4836816) (author)
Published:	2024
Subjects:	Medicine Sociology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reducing inherent variability considered healthy controls certified hoof trimmer auc (> 0 commercial dairy farms slope features derived containing features extracted 3 simple features 85 ), roc related behavioral changes moderately lame conditions machine learning algorithms div >< p daily change derived containing daily lying conventional feature ), ml predictive approaches performing models included cows requiring cct daily change conventional features severely lame multiple approaches lying time dairy cattle daily steps features explored lameness conditions lr ), 68 ), time series random forest precision technologies northern colorado median filter common concerns claw trimming based accelerometer 4 months
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The performance of different algorithms for classification of cows whether they have infectious lameness or non-infectious lameness condition among the diseased cows.

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