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ChickSense: Toward Poultry Welfare With Machine Learning-Assisted Visible Light Sensing

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dc.contributor.authorAlijani, Morteza
dc.contributor.authorJoseph, Wout
dc.contributor.authorDe Poorter, Eli
dc.contributor.authorDeruyck, Margot
dc.contributor.authorPlets, David
dc.date.accessioned2025-02-17T21:12:06Z
dc.date.available2025-02-17T21:12:06Z
dc.date.issued2024-NOV 1
dc.description.wosFundingTextThis work was supported by the imec ICON Project "WISH" (Flanders Innovation & Entrepreneurship) through the Agentschap Innoveren en Ondernemen Project under Grant HBC.2021.0664. The associate editor coordinating the review of this article and approving it for publication was Dr. Pedro Oliveira Conceicao Junior.
dc.identifier.doi10.1109/JSEN.2024.3463209
dc.identifier.issn1530-437X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45232
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage36178
dc.source.endpage36193
dc.source.issue21
dc.source.journalIEEE SENSORS JOURNAL
dc.source.numberofpages16
dc.source.volume24
dc.title

ChickSense: Toward Poultry Welfare With Machine Learning-Assisted Visible Light Sensing

dc.typeJournal article
dspace.entity.typePublication
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