Monitoring foot surface temperature using infrared thermal imaging for assessment of hoof health status in cattle: A review

LokeshBabu, D S; Jeyakumar, Sakthivel; Vasant, Patil Jitendra; Sathiyabarathi, M.; Manimaran, A.; Kumaresan, A.; Pushpadass, Heartwin A.; Sivaram, M.; Ramesha, K. P.; Kataktalware, M. A.; Siddaramanna,

doi:10.1016/j.jtherbio.2018.08.021

Cited by 42 publications

(8 citation statements)

References 81 publications

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“…Residual faeces were removed with a spatula and the anterior limbs were photographed. The camera was pointed at the interdigital space of the evaluated limb at a distance of 1 m, and a photograph was obtained in the palmar-dorsal direction [22].…”

Section: Infrared Thermographymentioning

confidence: 99%

Evaluation of infrared thermography, force platform and filmed locomotion score as non-invasive diagnostic methods for acute laminitis in zebu cattle

et al. 2020

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This study aimed to characterize oligofructose-induced laminitis in zebu cattle and comparatively evaluate four different diagnostic methods for laminitis. A total of 29 rumen-cannulated Nelore heifers, weighing 474.5 ± 58.5 kg were used. Laminitis was experimentally induced by intraruminal administration of 0.765 g/kg oligofructose twice daily for three consecutive days, followed by a single dose of 10.71 g/kg oligofructose on the fourth day. The animals were evaluated before administration of the highest dose of oligofructose (basal) and every six hours for up to 24 hours (6, 12, 18, 24 hours) and thereafter, every 12 hours for up to 72 hours (36, 48, 60, 72 hours) post-induction. The following diagnostic methods were used: hoof pain sensitivity test (hoof-testing), locomotion scoring, hoof infrared thermography, and force platform. Diagnosis of laminitis was confirmed after two positive responses to hoof pressure testing. Using a receiver operator characteristic (ROC) curve, we defined the appropriate cutoff for infrared thermography and force plate as 30˚C and < 24%, respectively. From the 29 heifers, 27 developed laminitis (93.1%) which occurred between 24 h to 72 h in the digits from two limbs, with more frequent sensitivity in the lateral digits. Locomotion analysis detected twenty-eight heifers with laminitis and showed that a greater (P = 0.006) number of animals had lameness in two limbs (n = 13; 56%). Using hoof-testing as gold standard for the diagnosis of laminitis the locomotion score displayed 100% sensitivity, 97% specificity and 98% accuracy; infrared thermography showed 96% sensitivity, 63% specificity, and 75% accuracy whilst force plate had 76% sensitivity, 82% specificity and 79% accuracy. This suggests that, for the diagnosis of laminitis in cattle, pain evaluation is more efficient. Considering the difficult to evaluate pain sensitivity in Nelore animals, filmed locomotion score, infrared thermography and force plate methods can be indicated for noninvasive lameness detection in beef farms.

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Section: Infrared Thermographymentioning

confidence: 99%

Evaluation of infrared thermography, force platform and filmed locomotion score as non-invasive diagnostic methods for acute laminitis in zebu cattle

et al. 2020

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“…Innovative technological methods that establish detection systems using only thermal infrared cameras are still lacking. Nevertheless, thermal infrared video techniques provide a good option to be used for verification [93]. Due to the error rates of IRT methods, their results should still be combined with professional observations.…”

Section: Verification Methodsmentioning

confidence: 99%

“…Infrared thermography (IRT) is a noninvasive, non-radiation, rapidly evolving diagnostic method, and it can measure the surface temperature of an object [90]. Since hoof inflammation can cause the skin surface temperature to rise [91][92][93], many studies detect the lameness of cows by the change in hoof temperature [94][95][96]. Before IRT was used to detect hoof disease in dairy cows, a large amount of data was needed to train a model to learn the relationship between temperature and hoof disease and to determine the non-hoof disease interference factors that affect the hoof temperature of dairy cows [80].…”

Section: Thermal Infrared Cameramentioning

confidence: 99%

“…Infrared thermography has great potential as a diagnostic method for lameness in dairy, especially for early detection and prevention, and it can compensate for some of the deficiencies in 2D or 3D lameness detection, because early lameness motor characteristics may not be as significant. Thus, it is best used in combination with other diagnostic imaging methods [93]. During detection, only the temperature is used to determine the parameters, and most of the image information is used for temperature positioning.…”

Section: Thermal Infrared Cameramentioning

confidence: 99%

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A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications

Zhang

Liu

2021

Sensors

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The computer vision technique has been rapidly adopted in cow lameness detection research due to its noncontact characteristic and moderate price. This paper attempted to summarize the research progress of computer vision in the detection of lameness. Computer vision lameness detection systems are not popular on farms, and the accuracy and applicability still need to be improved. This paper discusses the problems and development prospects of this technique from three aspects: detection methods, verification methods and application implementation. The paper aims to provide the reader with a summary of the literature and the latest advances in the field of computer vision detection of lameness in dairy cows.

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“…It has been demonstrated that diets rich in phytochemicals increase concentrations of functional fatty acid in various tissues of ruminants (Leiber et al, 2019;Willems, Kreuzer, & Leiber, 2014), and this could explain to a certain degree that fatty acid profiles in claws vary (Raber, Scheeder, Ossent, Lischer, & Geyer, 2006). Inflammatory processes are common reasons for lameness (LokeshBabu et al, 2018) and can be modulated by functional long-chain fatty acids and their derivatives (Barcelo-Coblijn & Murphy, 2009). In particular, milk thistle flavanolignans have been found to exhibit direct anti-inflammatory properties in dairy cows' hoof dermal cells (Tian et al, 2019).…”

Section: Lamenessmentioning

confidence: 99%

A multicomponent herbal feed additive improves somatic cell counts in dairy cows ‐ a two stage, multicentre, placebo‐controlled long‐term on‐farm trial

Walkenhorst

Leiber

Maeschli

et al. 2020

Animal Physiology Nutrition

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In contrast to natural and historical diets of wild and domesticated ruminants, the diversity of plant species is limited in diets of modern dairy cows. Are “production diseases” linked to this? We conducted a trial to test the effects of a multicomponent herbal feed additive (HFA) on health, performance and fertility traits. A dose‐finding study (DF) with 62 cows on 11 commercial farms compared a low (50 g) and a high (100 g) dose of HFA (HFA‐50, HFA‐100) with a placebo (PL). In a subsequent field trial (FT) with 280 cows on 30 commercial farms, HFA‐100 was compared to PL. Cows were randomly assigned to HFA and PL groups and received HFA or PL individually daily from 14 days pre‐ to 300 days post‐calving. Data were analysed with mixed effects models. No differences between HFA and PL were found regarding performance, body condition score and overall culling rates. A tendency towards lower milk urea for HFA‐100 compared to PL (p = .06) was found in DF. HFA significantly reduced elevated milk acetone observations (≥10 mg/L) in the first 10 lactation weeks (HFA‐100: 4%; HFA‐50: 4%; PL: 12%) in DF. HFA‐50 significantly reduced lameness incidence (HFA‐100: 11%; HFA‐50: 2%; PL: 14%) in DF. Calving intervals were 15 days shorter in HFA compared to PL in both trials, which could be confirmed by tendency (p = .07) in FT. In both trials, the proportion of test days with elevated somatic cell score (≥3.0) was significantly lower in HFA compared to PL (DF: HFA‐100: 40%, HFA‐50: 45% and PL: 55%; FT: HFA‐100: 38% and PL: 55%) which is also reflected by tendency (p = .08) in lower culling rates due to udder diseases in FT. HFA showed no negative impact on any of the measured parameters. The effects of HFA indicate a potential of phytochemically rich and diverse feed additives for dairy cows' nutrition and physiology.

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Monitoring foot surface temperature using infrared thermal imaging for assessment of hoof health status in cattle: A review

Cited by 42 publications

References 81 publications

Evaluation of infrared thermography, force platform and filmed locomotion score as non-invasive diagnostic methods for acute laminitis in zebu cattle

Evaluation of infrared thermography, force platform and filmed locomotion score as non-invasive diagnostic methods for acute laminitis in zebu cattle

A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications

A multicomponent herbal feed additive improves somatic cell counts in dairy cows ‐ a two stage, multicentre, placebo‐controlled long‐term on‐farm trial

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