Development of a software algorithm working with infrared images and useful for the early detection of mastitis in dairy cows

Zaninelli, M.; Redaelli, Veronica; Luzi, F.; Bronzo, V.; Tappella, A.; Mitchell, M.A.; Dell’Orto, V.; Cattaneo, D.; Savoini, G.

doi:10.21611/qirt.2018.p5

Cited by 2 publications

(2 citation statements)

References 12 publications

(24 reference statements)

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“…However, the overall results of the tests evaluated do not seem to justify the development of an ad hoc IR thermographic device for the monitoring of the effects of milking on the teats. Nevertheless, the authors hypothesize that in the case that an IR sensor already equips a conventional or automatic milking system for other purposes (e.g., the monitoring of udder health status [43,44]), the same sensor could be used as a preliminary evaluation method of the mechanical stress of teats caused by the milking machine. Through a specific setting of the alarm threshold, the number of false positive cases could be limited and an automatic and continuous evaluation of teats could be implemented, enabling early detection of possible faults of the milking machine.…”

Section: Discussionmentioning

confidence: 99%

The Use of Infrared Thermography for the Monitoring of Udder Teat Stress Caused by Milking Machines

Tangorra

Redaelli

Luzi

et al. 2019

Animals

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The aim of this study was to test infrared thermography (IRT) as a possible tool for scoring teat color changes after cluster removal; thus, indirectly, to classify the short-term stress of teats caused by milking machines. Thermographic images (n = 137) from three farms were collected and evaluated to calculate the average and maximum skin surface temperatures (SSTs) at the base, center, and tip of each teat (Tavg,B, Tavg,C, Tavg,T, Tmax,B, Tmax,C, and Tmax,T). Obtained results confirmed a significant relationship between the indicators Tavg, Tmax and the levels of teat color change (level one: pink-colored teat; level two: red-colored teat; level three: blue or purple-colored teat). Nevertheless, when a teat was considered to be stressed because its scoring fell in level 3 of the color-change scale used, sensitivity and specificity in the classification of the teat status ranged respectively between 45.6% and 54.3%, and 54.4% and 59.2%, for the indicators Tavg; and 56.5% and 60.9%, and 59.7% and 61.8%, for the indicators Tmax. When a teat was considered stressed because its scoring fell between the levels 2 and 3 of the scale adopted, sensitivity and specificity were between 49.0% and 55.8%, and 58.3% and 61.8%, for the indicators Tavg; and 55.8% and 59.9%, and 60.6% and 61.4%, for the indicators Tmax. As a consequence, the low values of sensitivity and specificity do not seem to justify the development of an ad hoc infrared device for the monitoring of udder teat stress. Nonetheless, this technology can be a viable solution for a preliminary evaluation of the mechanical stress of teats if a milking system would be equipped with an infrared sensor already in place for other purposes (e.g., the monitoring of udder health status).

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Section: Discussionmentioning

confidence: 99%

The Use of Infrared Thermography for the Monitoring of Udder Teat Stress Caused by Milking Machines

Tangorra

Redaelli

Luzi

et al. 2019

Animals

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“…The usage of infrared thermography to determine the temperature thresholds of the udder surface skin is a fast and non-invasive way to immediately obtain information about the condition of the animal in the cowhold and to assume a change in milk yield [23,24]. The study of the temperature of the skin of the udder of cows of the Yaroslavl breed to determine the threshold values for inflammation, presumed mastitis and even its type, will make significant progress in the implementation of a rapid system for assessing the condition of animals.…”

Section: Introductionmentioning

confidence: 99%

Development of an Algorithm for Rapid Herd Evaluation and Predicting Milk Yield of Mastitis Cows Based on Infrared Thermography

et al. 2022

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The aim of this study was to explore the possibility of assessing the health status of a cow’s udder using infrared thermography. We studied the effect of mastitis on cow milk yield, the effect of mastitis on udder surface skin temperature, and the dependence between severity of mastitis and udder temperature. We determined the presence of a significant relationship between the udder surface skin temperature and the milk yield of mastitis cows (Coefficient of determination = 0.886, linear Pearson correlation coefficient = −0.96), as well as the absence of a significant relationship between the udder surface skin temperature and the milk yield of healthy cows (Coefficient of determination = 0.029, linear Pearson correlation coefficient = 0.16). We substantiated the temperature ranges of the udder surface of healthy cows [32–35.9 °C] and mastitis [36.1–39 °C]. The obtained data made it possible to form an algorithm that allows a quick assessment of the herd for the presence of udder disease, using infrared images of the udder surface skin temperature.

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Development of a software algorithm working with infrared images and useful for the early detection of mastitis in dairy cows

Cited by 2 publications

References 12 publications

The Use of Infrared Thermography for the Monitoring of Udder Teat Stress Caused by Milking Machines

The Use of Infrared Thermography for the Monitoring of Udder Teat Stress Caused by Milking Machines

Development of an Algorithm for Rapid Herd Evaluation and Predicting Milk Yield of Mastitis Cows Based on Infrared Thermography

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