Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313451805> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4313451805 endingPage "107568" @default.
- W4313451805 startingPage "107568" @default.
- W4313451805 abstract "Cattle calls have been used as indicators of the health and welfare of cattle, but the analysis of calls is laborious and time-consuming. In this study, we developed six machine learning classifiers to classify five cattle call patterns using the acoustic features of the calls. The classifiers were trained using calls collected from 31 Japanese Black cattle using a microphone and a webcam. The call patterns of interest included normal, estrus, feeding, normal calls with and without noise. We extracted 193 dimensions of acoustic features from each acoustic sample as the input for the call pattern classifiers. Two datasets were utilized to assess how background noise affected classification. Dataset2 combined two types of normal calls, whereas Dataset1 distinguished between normal calls with and without noise. The outcomes demonstrated that dataset-2 completed classification more accurately than dataset-1. K-nearest neighbor (95.62%), random forest (92.04%), decision tree (92.83%), and logistic regression (92.83%) all had high classification accuracy with dataset-2. When trained on dataset 2, Naïve Bayes and support vector machine models' classification accuracy increased to 86.31% and 88.93%, respectively, from their initial values of 79.64% and 79.81% when using dataset-1. The similarity in call amplitudes and lengths resulted in incorrect classifications. In the future, a microphone with identity information could be attached near the cow's mouth to collect individual calls. In addition to calls associated with different physiological states, other types of information (e.g., sex, age, species, and individual acoustic characteristics), will be considered. This study offers a potential effective tool for precision livestock feeding and reproduction management based on cattle call patterns automatic recognition." @default.
- W4313451805 created "2023-01-06" @default.
- W4313451805 creator A5036310010 @default.
- W4313451805 creator A5045401587 @default.
- W4313451805 creator A5067620306 @default.
- W4313451805 creator A5079493738 @default.
- W4313451805 creator A5082054796 @default.
- W4313451805 creator A5088249884 @default.
- W4313451805 creator A5090791796 @default.
- W4313451805 date "2023-01-01" @default.
- W4313451805 modified "2023-10-14" @default.
- W4313451805 title "Japanese Black cattle call patterns classification using multiple acoustic features and machine learning models" @default.
- W4313451805 cites W1427840352 @default.
- W4313451805 cites W1963768606 @default.
- W4313451805 cites W2035347051 @default.
- W4313451805 cites W2045486043 @default.
- W4313451805 cites W2071893783 @default.
- W4313451805 cites W2086301777 @default.
- W4313451805 cites W2089536443 @default.
- W4313451805 cites W2125283600 @default.
- W4313451805 cites W2141269094 @default.
- W4313451805 cites W2191779130 @default.
- W4313451805 cites W2534261280 @default.
- W4313451805 cites W2767035385 @default.
- W4313451805 cites W2795005041 @default.
- W4313451805 cites W2964243274 @default.
- W4313451805 cites W2965560158 @default.
- W4313451805 cites W3008768000 @default.
- W4313451805 cites W3037146579 @default.
- W4313451805 cites W3194307852 @default.
- W4313451805 cites W4200479279 @default.
- W4313451805 doi "https://doi.org/10.1016/j.compag.2022.107568" @default.
- W4313451805 hasPublicationYear "2023" @default.
- W4313451805 type Work @default.
- W4313451805 citedByCount "0" @default.
- W4313451805 crossrefType "journal-article" @default.
- W4313451805 hasAuthorship W4313451805A5036310010 @default.
- W4313451805 hasAuthorship W4313451805A5045401587 @default.
- W4313451805 hasAuthorship W4313451805A5067620306 @default.
- W4313451805 hasAuthorship W4313451805A5079493738 @default.
- W4313451805 hasAuthorship W4313451805A5082054796 @default.
- W4313451805 hasAuthorship W4313451805A5088249884 @default.
- W4313451805 hasAuthorship W4313451805A5090791796 @default.
- W4313451805 hasConcept C110083411 @default.
- W4313451805 hasConcept C115961682 @default.
- W4313451805 hasConcept C119857082 @default.
- W4313451805 hasConcept C12267149 @default.
- W4313451805 hasConcept C151956035 @default.
- W4313451805 hasConcept C153180895 @default.
- W4313451805 hasConcept C154945302 @default.
- W4313451805 hasConcept C169258074 @default.
- W4313451805 hasConcept C2778263558 @default.
- W4313451805 hasConcept C28490314 @default.
- W4313451805 hasConcept C41008148 @default.
- W4313451805 hasConcept C52001869 @default.
- W4313451805 hasConcept C68115822 @default.
- W4313451805 hasConcept C76155785 @default.
- W4313451805 hasConcept C84525736 @default.
- W4313451805 hasConcept C99498987 @default.
- W4313451805 hasConceptScore W4313451805C110083411 @default.
- W4313451805 hasConceptScore W4313451805C115961682 @default.
- W4313451805 hasConceptScore W4313451805C119857082 @default.
- W4313451805 hasConceptScore W4313451805C12267149 @default.
- W4313451805 hasConceptScore W4313451805C151956035 @default.
- W4313451805 hasConceptScore W4313451805C153180895 @default.
- W4313451805 hasConceptScore W4313451805C154945302 @default.
- W4313451805 hasConceptScore W4313451805C169258074 @default.
- W4313451805 hasConceptScore W4313451805C2778263558 @default.
- W4313451805 hasConceptScore W4313451805C28490314 @default.
- W4313451805 hasConceptScore W4313451805C41008148 @default.
- W4313451805 hasConceptScore W4313451805C52001869 @default.
- W4313451805 hasConceptScore W4313451805C68115822 @default.
- W4313451805 hasConceptScore W4313451805C76155785 @default.
- W4313451805 hasConceptScore W4313451805C84525736 @default.
- W4313451805 hasConceptScore W4313451805C99498987 @default.
- W4313451805 hasFunder F4320320912 @default.
- W4313451805 hasFunder F4320322725 @default.
- W4313451805 hasFunder F4320334764 @default.
- W4313451805 hasLocation W43134518051 @default.
- W4313451805 hasOpenAccess W4313451805 @default.
- W4313451805 hasPrimaryLocation W43134518051 @default.
- W4313451805 hasRelatedWork W3186233728 @default.
- W4313451805 hasRelatedWork W3204641204 @default.
- W4313451805 hasRelatedWork W4200057378 @default.
- W4313451805 hasRelatedWork W4281846282 @default.
- W4313451805 hasRelatedWork W4285407528 @default.
- W4313451805 hasRelatedWork W4308191010 @default.
- W4313451805 hasRelatedWork W4321636153 @default.
- W4313451805 hasRelatedWork W4377964522 @default.
- W4313451805 hasRelatedWork W4383535405 @default.
- W4313451805 hasRelatedWork W4384345534 @default.
- W4313451805 hasVolume "204" @default.
- W4313451805 isParatext "false" @default.
- W4313451805 isRetracted "false" @default.
- W4313451805 workType "article" @default.