Study on body temperature detection of pig based on infrared technology: A review

Zhang, Zaiqin; Zhang, Hang; Liu, Tonghai

doi:10.1016/j.aiia.2019.02.002

Cited by 50 publications

(53 citation statements)

References 20 publications

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“…Other studies show strong correlations between the rectal temperature and body surface temperature, respectively [ 13 , 29 ]. It should be considered, that rectal temperature measurement is an invasive and stressful process for the animals, which may lead to an increase, and thus, confounding of the body temperature [ 30 ]. With regard to animal welfare and economic aspects, stressful situations for the animals should be avoided, even though rectal measurement still constitutes the golden standard for measurement of the body core temperature.…”

Section: Discussionmentioning

confidence: 99%

Feasibility Study on the Use of Infrared Thermography to Classify Fattening Pigs into Feeding Groups According Their Body Composition

Lengling

Alfert

Reckels

et al. 2020

Sensors

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Fattening pig husbandry and associated negative environmental impacts due to nitrogen inputs by ammonia emissions are current issues of social discussion. New resource-efficient feeding systems offer great potential to reduce excess nutrient inputs into the environment. Using ultrasound measurements, fattening pigs can be divided into performance groups based on their backfat/muscle ratio to feed them according to their nutritional needs. Ultrasound measurements are not suitable for practical use, so alternatives have to be found. As a non-invasive, contactless method, infrared thermography offers many advantages. This study investigated whether infrared thermography can be used to differentiate between “fat” and “lean” animals. Two evaluation methods with different measurement spot sizes were compared. During a fattening period, 980 pigs were examined three times with an infrared camera. Both methods showed significant differences. Body surface temperature was influenced by factors like measurement spot size and soiling of the animals. Body surface temperature decreased (−5.5 °C), while backfat thickness increased (+0.7 cm) in the course of the fattening period. Significant correlations (R > |0.5|; p < 0.001) between both parameters were found. Differentiation between “fat” and “lean” animals, based on temperature data, was not possible. Nevertheless, the application of thermography should be investigated further with the aim of resource-efficient feeding. The results of this feasibility study can serve as a basis for this.

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Section: Discussionmentioning

confidence: 99%

Feasibility Study on the Use of Infrared Thermography to Classify Fattening Pigs into Feeding Groups According Their Body Composition

Lengling

Alfert

Reckels

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…It is important to identify influential factors affecting body temperature for maximizing the reproductive potential of pigs during their lifetime. Regulation of body temperature is one of the most essential mechanisms to maintain the homeostasis of the whole organism and to assist in disease diagnosis and health monitoring (Yazgan, 2017;Zhang et al, 2019). Biological functions often depend on body temperature which is closely associated with its surrounding ambient environment as well as behavior, performance and physiological parameters of pig (Kessel et al, 2010;Bertoldo et al, 2012;Chakraborty et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Influence of Environmental Variables on Pig’s Body Temperature using ANN and MLR Models

Basak

Arulmozhi

Khan

et al. 2020

IJAR

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An experiment was conducted to find out the most influential factors affecting pig’s body temperature (PBT). For this purpose, eight environmental parameters and three growth related factors were considered as variables. Among these factors, seven environmental parameters, including temperature, CO2, temperature-humidity index inside and outside the pig’s barn and relative humidity inside the barn were taken as input variables for artificial neural networks (ANN) and multiple linear regression (MLR) models due to their good correlation (r ³ 0.5) with PBT. The results showed that ANN and MLR models had the lowest R2 values (0.81 and 0.69, respectively) and the highest RMSE (1.17 and 1.48, respectively) when they were run without temperature-humidity index; however, the maximum R2 (0.90 and 0.75, respectively) and minimum RMSE (0.92 and 1.40, respectively) were found without relative humidity. Based on the results, the temperature-humidity index could represent an important indicator in registering early warning signs of PBT status alternations.

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“…It may be helpful to make use of thermal images to overcome these difficulties [53]. Similar to body temperature, skin temperature is linked to birth weight, vitality, and colostrum ingestion and can be used to see whether a piglet has reached the teat and suckled and ingested colostrum within 30 min of birth [73,74]. As a piglet begins to suck and ingest colostrum, energy and warmth are produced, increasing body and therefore skin temperature [53].…”

Section: Assessment Of Colostrum Uptakementioning

confidence: 99%

Tools and Protocols for Managing Hyperprolific Sows at Parturition: Optimizing Piglet Survival and Sows’ Reproductive Health

Björkman¹,

Grahofer²

2021

Animal Reproduction in Veterinary Medicine

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Genetic selection for higher prolificacy is one of the major causes for a decrease in piglet survival and reproductive health of the sow. Large litters increase farrowing duration and decrease piglet birth weight and therefore have an impact on piglet vitality, colostrum uptake, and piglet survival. Large litters also increase the incidence of postpartum dysgalactia syndrome (PDS) and the probability of the sow to be removed from the herd because of reproductive failure. Therefore, hyperprolificacy challenges the performance of the sow in terms of parturition, colostrum production, neonatal survival, and fertility. In this review, we discuss the tools and protocols for management of parturition, colostrum, and sows' reproductive health. We provide checklists for the prevention of birth complications and PDS as well as for improvement of mammary gland development and colostrum production.

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Study on body temperature detection of pig based on infrared technology: A review

Cited by 50 publications

References 20 publications

Feasibility Study on the Use of Infrared Thermography to Classify Fattening Pigs into Feeding Groups According Their Body Composition

Feasibility Study on the Use of Infrared Thermography to Classify Fattening Pigs into Feeding Groups According Their Body Composition

Assessment of the Influence of Environmental Variables on Pig’s Body Temperature using ANN and MLR Models

Tools and Protocols for Managing Hyperprolific Sows at Parturition: Optimizing Piglet Survival and Sows’ Reproductive Health

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