Identificação de artrite em suínos utilizando imagem termográfica

Graciano, Daniela Espanguer; Nääs, Irenilza de Alencar; Garcia, Rodrigo Garófallo; Caldara, Fabiana Ribeiro; Santana, Mayara Rodrigues de; Nascimento, Guilherme Rodrigues do

doi:10.17523/bia.v71n1p79

Cited by 5 publications

(8 citation statements)

References 8 publications

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“…The identification of inflammatory conditions in horses, swine, and dairy cows using thermal infrared images are well documented in the literature (DENOIX, 1994;GLOSTER et al, 2011;GRACIANO et al, 2014;NÄÄS et al, 2014). There is also an indication of the use of infrared thermography for determining heat exchange in b roilers (YAHAV et al, 2004;NÄÄS et al, 2010).…”

Section: Resultsmentioning

confidence: 99%

“…The animal surface temperature can be registered by the amount of infrared radiation the surface exchange with the environment, which is transformed into a thermal image (DENOIX, 1994;TESSIER et al, 2003). Current literature indicates the use of infrared thermography for diagnostics of heat stress as well as for detecting subclinical pathologies (NIKKHAH et al, 2005;SCHAEFER et al, 2004;GRACIANO et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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The use of infrared thermography in the identification of pododermatitis in broilers

et al. 2016

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International trade in broiler' feet, mainly to Asian markets, has demanded better quality control. The objective of this research was to study the suitability of using chicken footpad surface temperature to determine early lesions of pododermatitis. The project was conducted in two houses A1 and A2) in a commercial farm during one production flock. A1 had reused litter of wood shavings and rice hulls, and A2 had a new litter of sawdust. Both houses had positive pressure ventilation. The inner area of the poultry was virtually divided into three quadrants. The footpads were checked for the feet quality, and a degree of pododermatitis was awarded. Thermal images were made to test the surface temperature of the foot and identify inflammation in a total of 30 birds per house, at ages 5, 19, 29, 28 and 40 days of grow-out. Conditions of the rearing environment as well as the surface temperature of the litter, litter moisture, and degree of compression, were recorded. The environment within the houses did not differ. The surface temperatures of the footpad did not differ between the groups. The minimum footpad surface temperatures within the scores were similar, except for the score 3, which did not occur in A1. There was a prevalence of severe injury in the house with a new litter. KEYWORDS: rearing ambient, sub-clinical lesions, thermal image USO DA TERMOGRAFIA INFRAVERMELHO NA IDENTIFICAÇÃO DE PODODERMATITE EM FRANGO DE CORTERESUMO: O comércio internacional de pés de frangos, sobretudo para os mercados asiáticos, demanda maior controle de qualidade. O objetivo da pesquisa foi estudar o uso de temperatura superficial dos pés de frangos de várias idades, para identificar a presença de lesões de pododermatite. O projeto foi feito em dois galpões de uma granja comercial durante um lote. Os aviários eram similares (A1 e A2). A1 tinha cama reusada de maravalha e casca de arroz e A2, cama nova de pó de serra. Os aviários tinham ventilação de pressão positiva. A área interna dos aviários foi dividida em três quadrantes. Os coxins foram checados para avaliara a qualidade dos pés sendo atribuído o grau de pododermatite. Imagens térmicas foram feitas para testar a temperatura superficial do pé e identificar a lesão em 30 aves por aviário nas idades de 5; 19; 29; 28 e 40 dias. Foram registradas a ambiência do alojamento, a temperatura da cama e sua compactação. O ambiente dos aviários não diferiu. As temperaturas superficiais dos pés das aves não diferiram entre os grupos. As temperaturas superficiais mínimas dentro dos escores eram similares, com exceção do escore 3, que não teve em A1. Houve prevalência de mais injúrias severas no aviário com cama nova.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The use of infrared thermography in the identification of pododermatitis in broilers

et al. 2016

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“…Table 4 summarizes various studies on deep learning algorithms for IRT applications. Graciano et al [ 24 ] used IRT imaging to detect edema in pigs on a farm, showcasing its efficacy in early arthritis diagnosis. The need for automatic pig disease, behavior, and size assessment has increased due to extensive phenotyping.…”

Section: Deep Learning Algorithms For Infrared Thermography Applicationmentioning

confidence: 99%

“…Moreover, IRT is also used to identify non-disease symptoms, including breeding, birth signs, etc. [ 23 ], as well as to assess animal well-being and productivity [ 24 ]. It provides valuable information for monitoring and evaluating the overall health, well-being, and productivity of animals.…”

Section: Introductionmentioning

confidence: 99%

Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review

Reza,

Ali,

Samsuzzaman

et al. 2024

J Anim Sci Technol

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Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

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“…Foram utilizados cinco animais com suspeita de artrite nos membros posteriores. Os valores médios da temperatura superficial foram menores no membro sadio, com 33,6°C, do que nos que apresentavam a enfermidade, com 35,6°C evidenciando que por meio de imagens termográficas, é possível a identificação de processos inflamatórios em suínos (GRACIANO et al, 2014).…”

Section: Animais De Produçãounclassified

Termografia Por Infravermelho Em Medicina Veterinária

Ferreira¹,

Filho²,

Bertolino³

et al. 2016

Encicl. Biosf.

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RESUMOO exame termográfico consiste na mensuração da energia infravermelha empregando câmeras que captam as radiações emitidas pelo corpo de um animal. As imagens capturadas através do termógrafo geram os termogramas, que são imagens que se diferem de acordo com a distribuição de temperatura. A diferença de temperaturas existentes entre dois corpos é visível pelas imagens exibidas pelo aparelho termográfico. Cores em tons de azul e roxo indicam que a temperatura é baixa, enquanto que as cores em tons mais quente, variando do vermelho ao amarelo, indicam uma temperatura mais elevada. Fatores devem ser levados em consideração, como a preparação do paciente e do ambiente onde se realizará o exame, evitando mensurações inadequadas. O uso da termografia expandiu-se para diversas especialidades na medicina veterinária, como método auxiliar para diagnósticos de processos inflamatórios em diferentes espécies de animais, assim como na detecção precoce de enfermidades ao ser utilizado em animais de difícil manejo. PALAVRAS-CHAVE: Infravermelho, Medicina Veterinária. Termografia THERMOGRAPHY IN INFRARED IN VETERINARY MEDICINE ABSTRACTThe thermographic examination consists of measuring the infrared energy using cameras that capture the radiation emitted by the body of an animal. The images captured by the thermograph generate thermograms that are images that differ according to the temperature distribution. The difference in temperature existing between two bodies is visible the images captured by thermographic machine. Colors shades of blue and purple indicates that the temperature is low, while the hot color shades between red and yellow, indicating a higher temperature. Factors must be taken into account, such as the preparation of the patient and the environment where it will conduct the examination, avoiding inadequate measurements. The use of

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Identificação de artrite em suínos utilizando imagem termográfica

Cited by 5 publications

References 8 publications

The use of infrared thermography in the identification of pododermatitis in broilers

The use of infrared thermography in the identification of pododermatitis in broilers

Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review

Termografia Por Infravermelho Em Medicina Veterinária

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