How Successful Can Infrared Thermography of the Mammary Gland Be in Detecting Clinical Mastitis in Sows?
Melita Hajdinjak (),
Igor Pušnik and
Marina Štukelj
Additional contact information
Melita Hajdinjak: Laboratory of Applied Mathematics and Statistics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, Slovenia
Igor Pušnik: Laboratory of Metrology and Quality, Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, Slovenia
Marina Štukelj: Clinic for Ruminants and Pigs, Veterinary Faculty, University of Ljubljana, Gerbičeva ulica 60, 1000 Ljubljana, Slovenia
Agriculture, 2025, vol. 15, issue 7, 1-17
Abstract:
The objective of the study was to ascertain the potential of infrared thermal imaging (IRT) to detect the development of clinical mastitis at an early stage. The study was carried out on a one-site small pig farm with 80 breeding sows (crossbreed Landrace × Yorkshire) that had a history of high incidence of MMA. The udder-skin temperatures of the breeding sows were measured using a high-quality IRT camera (FLIR T650sc), in accordance with the IRT measurement protocol (including calibration and corrections), with a measurement uncertainty of ± 0.5 ° C . This study improves upon previous research by refining the measurement protocol and selecting more appropriate statistical methods to better analyze time-dependent data. To minimise the impact of measurement uncertainty, we propose the use of time-dependent trends (simple moving averages) caused by farrowing and lactation in place of the original IRT time series data. The findings indicate that a significant disparity between the maximum and minimum daily udder-skin temperature values, along with a pronounced maximal median of daily udder-skin IRT temperature values in sows during the early post-farrowing period, is associated with an elevated prevalence of multiglandular mastitis. Consequently, the utilisation of IRT imaging of the udder skin has the potential to facilitate the detection or prediction of multiglandular mastitis in sows. However, identifying uniglandular mastitis in individual mammary glands is more complex and may rely on time-dependent statistical trends derived from IRT imaging.
Keywords: mastitis; postpartum dysgalactia syndrome; mammary gland; infrared thermography; time series data; simple moving average (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2077-0472/15/7/697/pdf (application/pdf)
https://www.mdpi.com/2077-0472/15/7/697/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:15:y:2025:i:7:p:697-:d:1620311
Access Statistics for this article
Agriculture is currently edited by Ms. Leda Xuan
More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().