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Sensor data cleaning for applications in dairy herd management and breeding

dc.contributor.authorSchodl, Katharina
dc.contributor.authorStygar, Anna
dc.contributor.authorSteininger, Franz
dc.contributor.authorEgger-Danner, Christa
dc.contributor.departmentid4100310910
dc.contributor.orcidhttps://orcid.org/0000-0003-3112-2847
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2024-12-18T06:53:55Z
dc.date.accessioned2025-05-28T08:43:10Z
dc.date.available2024-12-18T06:53:55Z
dc.date.issued2024
dc.description.abstractData cleaning is a core process when it comes to using data from dairy sensor technologies. This article presents guidelines for sensor data cleaning with a specific focus on dairy herd management and breeding applications. Prior to any data cleaning steps, context and purpose of the data use must be considered. Recommendations for data cleaning are provided in five distinct steps: 1) validate the data merging process, 2) get to know the data, 3) check completeness of the data, 4) evaluate the plausibility of sensor measures and detect outliers, and 5) check for technology related noise. Whenever necessary, the recommendations are supported by examples of different sensor types (bolus, accelerometer) collected in an international project (D4Dairy) or supported by relevant literature. To ensure quality and reproducibility, data users are required to document their approach throughout the process. The target group for these guidelines are professionals involved in the process of collecting, managing, and analyzing sensor data from dairy herds. Providing guidelines for data cleaning could help to ensure that the data used for analysis is accurate, consistent, and reliable, ultimately leading to more informed management decisions and better breeding outcomes for dairy herds.
dc.description.vuosik2024
dc.format.bitstreamtrue
dc.format.pagerange10 p.
dc.identifier.citationHow to cite: Schodl K, Stygar A, Steininger F and Egger-Danner C (2024) Sensor data cleaning for applications in dairy herd management and breeding. Front. Anim. Sci. 5:1444948. doi: 10.3389/fanim.2024.1444948
dc.identifier.olddbid498270
dc.identifier.oldhandle10024/555698
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/14582
dc.identifier.urlhttps://doi.org/10.3389/fanim.2024.1444948
dc.identifier.urnURN:NBN:fi-fe20241216103383
dc.language.isoen
dc.okm.avoinsaatavuuskytkin1 = Avoimesti saatavilla
dc.okm.corporatecopublicationon
dc.okm.discipline412
dc.okm.internationalcopublicationon
dc.okm.julkaisukanavaoa1 = Kokonaan avoimessa julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherFrontiers Media S.A.
dc.relation.articlenumber1444948
dc.relation.doi10.3389/fanim.2024.1444948
dc.relation.ispartofseriesFrontiers in animal science
dc.relation.issn2673-6225
dc.relation.volume5
dc.rightsCC BY 4.0
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/555698
dc.subjectsensor data
dc.subjectdairy cow
dc.subjectdata cleaning
dc.subjectactivity sensor
dc.subjectrumination sensor
dc.teh41007-00280603
dc.titleSensor data cleaning for applications in dairy herd management and breeding
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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