Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285489764> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4285489764 endingPage "163" @default.
- W4285489764 startingPage "154" @default.
- W4285489764 abstract "Infrared thermography is a technique that has been utilized to assess the thermal status of animals. This study proposes a convolutional neural network (CNN)-based method for the individual classification of the thermal condition of dairy cows using thermal images of specific body surface regions. The experiment was carried out with 26 lactating cows (Holstein) during summer and winter (40 days). Meteorological data were collected every 30 min and rectal temperature (trectal), respiratory rate (RR), and surface temperature (tsf) were measured three times a day (5 a.m., 1 p.m., and 7 p.m.). tsf was correlated with RR and trectal and selected as input data of the models. Thus, thermal images were labelled according to the RR and trectal categories and employed in the investigation of four CNN-based models constructed by supervised learning and cross-validation protocols. Performance was assessed by confusion matrix metrics (accuracy, precision, recall, and F1-score) comparing the predicted labels and true labels. The best results were obtained with the models that used forehead images. The model using images labelled according to three RR thermal levels has an accuracy of 76%, and the model labelled according to three trectal thermal levels has an accuracy of 71%. The method based on deep learning allowed us to generate a computational classifier that considers not only the temperature intensities from thermographic images but also their distribution profile to identify patterns referring to thermal conditions in dairy cows." @default.
- W4285489764 created "2022-07-15" @default.
- W4285489764 creator A5017838794 @default.
- W4285489764 creator A5020314819 @default.
- W4285489764 creator A5022325002 @default.
- W4285489764 creator A5030920255 @default.
- W4285489764 creator A5041569892 @default.
- W4285489764 creator A5067364119 @default.
- W4285489764 date "2022-09-01" @default.
- W4285489764 modified "2023-09-27" @default.
- W4285489764 title "Deep learning-based model classifies thermal conditions in dairy cows using infrared thermography" @default.
- W4285489764 cites W1653305903 @default.
- W4285489764 cites W1964752462 @default.
- W4285489764 cites W2045080207 @default.
- W4285489764 cites W2056939275 @default.
- W4285489764 cites W2057681397 @default.
- W4285489764 cites W2081486984 @default.
- W4285489764 cites W2170505850 @default.
- W4285489764 cites W2536078945 @default.
- W4285489764 cites W2605542664 @default.
- W4285489764 cites W2617972520 @default.
- W4285489764 cites W2754001138 @default.
- W4285489764 cites W2770512244 @default.
- W4285489764 cites W2791489312 @default.
- W4285489764 cites W2791690647 @default.
- W4285489764 cites W2809007325 @default.
- W4285489764 cites W2894984663 @default.
- W4285489764 cites W2909151178 @default.
- W4285489764 cites W3083236008 @default.
- W4285489764 doi "https://doi.org/10.1016/j.biosystemseng.2022.07.001" @default.
- W4285489764 hasPublicationYear "2022" @default.
- W4285489764 type Work @default.
- W4285489764 citedByCount "1" @default.
- W4285489764 countsByYear W42854897642023 @default.
- W4285489764 crossrefType "journal-article" @default.
- W4285489764 hasAuthorship W4285489764A5017838794 @default.
- W4285489764 hasAuthorship W4285489764A5020314819 @default.
- W4285489764 hasAuthorship W4285489764A5022325002 @default.
- W4285489764 hasAuthorship W4285489764A5030920255 @default.
- W4285489764 hasAuthorship W4285489764A5041569892 @default.
- W4285489764 hasAuthorship W4285489764A5067364119 @default.
- W4285489764 hasConcept C108583219 @default.
- W4285489764 hasConcept C120665830 @default.
- W4285489764 hasConcept C121332964 @default.
- W4285489764 hasConcept C127413603 @default.
- W4285489764 hasConcept C136229726 @default.
- W4285489764 hasConcept C138602881 @default.
- W4285489764 hasConcept C153180895 @default.
- W4285489764 hasConcept C153294291 @default.
- W4285489764 hasConcept C154945302 @default.
- W4285489764 hasConcept C158355884 @default.
- W4285489764 hasConcept C204530211 @default.
- W4285489764 hasConcept C2779222261 @default.
- W4285489764 hasConcept C2984335091 @default.
- W4285489764 hasConcept C3019079563 @default.
- W4285489764 hasConcept C33923547 @default.
- W4285489764 hasConcept C41008148 @default.
- W4285489764 hasConcept C81363708 @default.
- W4285489764 hasConcept C95623464 @default.
- W4285489764 hasConceptScore W4285489764C108583219 @default.
- W4285489764 hasConceptScore W4285489764C120665830 @default.
- W4285489764 hasConceptScore W4285489764C121332964 @default.
- W4285489764 hasConceptScore W4285489764C127413603 @default.
- W4285489764 hasConceptScore W4285489764C136229726 @default.
- W4285489764 hasConceptScore W4285489764C138602881 @default.
- W4285489764 hasConceptScore W4285489764C153180895 @default.
- W4285489764 hasConceptScore W4285489764C153294291 @default.
- W4285489764 hasConceptScore W4285489764C154945302 @default.
- W4285489764 hasConceptScore W4285489764C158355884 @default.
- W4285489764 hasConceptScore W4285489764C204530211 @default.
- W4285489764 hasConceptScore W4285489764C2779222261 @default.
- W4285489764 hasConceptScore W4285489764C2984335091 @default.
- W4285489764 hasConceptScore W4285489764C3019079563 @default.
- W4285489764 hasConceptScore W4285489764C33923547 @default.
- W4285489764 hasConceptScore W4285489764C41008148 @default.
- W4285489764 hasConceptScore W4285489764C81363708 @default.
- W4285489764 hasConceptScore W4285489764C95623464 @default.
- W4285489764 hasFunder F4320321091 @default.
- W4285489764 hasLocation W42854897641 @default.
- W4285489764 hasOpenAccess W4285489764 @default.
- W4285489764 hasPrimaryLocation W42854897641 @default.
- W4285489764 hasRelatedWork W2738221750 @default.
- W4285489764 hasRelatedWork W2779241955 @default.
- W4285489764 hasRelatedWork W2794869839 @default.
- W4285489764 hasRelatedWork W2964383635 @default.
- W4285489764 hasRelatedWork W2986507176 @default.
- W4285489764 hasRelatedWork W2995914718 @default.
- W4285489764 hasRelatedWork W3156786002 @default.
- W4285489764 hasRelatedWork W4293087779 @default.
- W4285489764 hasRelatedWork W4367624326 @default.
- W4285489764 hasRelatedWork W564581980 @default.
- W4285489764 hasVolume "221" @default.
- W4285489764 isParatext "false" @default.
- W4285489764 isRetracted "false" @default.
- W4285489764 workType "article" @default.