An approach towards a practicable assessment of neonatal piglet body core temperature using automatic object detection based on thermal images


Küster, Steffen ; Haverkamp, Lion ; Schlather, Martin ; Traulsen, Imke


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DOI: https://doi.org/10.3390/agriculture13040812
URL: https://www.mdpi.com/2077-0472/13/4/812
URN: urn:nbn:de:bsz:180-madoc-647056
Document Type: Article
Year of publication: 2023
The title of a journal, publication series: Agriculture
Volume: 13
Issue number: 4, Article 812
Page range: 1-17
Place of publication: Basel
Publishing house: MDPI AG
ISSN: 2077-0472
Publication language: English
Institution: School of Business Informatics and Mathematics > Applied Stochastics (Schlather 2012-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
630 Agriculture, veterinary medicine
Keywords (English): rectal temperature , thermal images , object detection , piglet vitality , non-invasive , multiple linear regression


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