Methodology for data processing and analysis techniques of infrared video thermography used to measure cattle temperature in real time

Cuthbertson, Holly; Tarr, Garth; González, L. A.

doi:10.1016/j.compag.2019.105019

Cited by 29 publications

(15 citation statements)

References 30 publications

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“…Second, the effect of air flow should be considered rather than removed from the frame, which will maintain the FPS. Third, referring to the study of Cuthbertson et al, the higher FPS of the IRT can reduce the length of time it takes to collect IRT data [ 49 ].…”

Section: Measurement Results and Discussionmentioning

confidence: 99%

Non-Invasive Cattle Body Temperature Measurement Using Infrared Thermography and Auxiliary Sensors

Wang

Shih

Juan

et al. 2021

Sensors

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To achieve a sensitive and accurate method in body temperature measurement of cattle, this study explores the uses of infrared thermography (IRT), an anemometer, and a humiture meter as a multiple sensors architecture. The influence of environmental factors on IRT, such as wind speed, ambient temperature, and humidity, was considered. The proposed signal processes removed the IRT frames affected by air flow, and also eliminated the IRT frames affected by random body movement of cattle using the frame difference method. In addition, the proposed calibration method reduced the impact of ambient temperature and humidity on IRT results, thereby increasing the accuracy of IRT temperature. The difference of mean value and standard deviation value between recorded rectal reference temperature and IRT temperature were 0.04 °C and 0.10 °C, respectively, and the proposed system substantially improved the measurement consistency of the IRT temperature and reference on cattle body temperature. Moreover, with a relatively small IRT image sensor, the combination of multiple sensors architecture and proper data processing still achieved good temperature accuracy. The result of the root-mean-square error (RMSE) was 0.74 °C, which is quite close to the accurate result of the IRT measurement.

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Section: Measurement Results and Discussionmentioning

confidence: 99%

Non-Invasive Cattle Body Temperature Measurement Using Infrared Thermography and Auxiliary Sensors

Wang

Shih

Juan

et al. 2021

Sensors

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show abstract

“…Thermographic images may point to alterations in blood flow resulting from increased body temperature due to stressful environmental conditions. These changes can be related to blood flow and heat transfer in animals (Cuthbertson et al, 2019). The temperature of the eye area measured by TIR sensors has been shown to correlate significantly to changes in core body temperature (Jorquera-Chavez et al, 2019).…”

Section: Advantages Of Sensors In Assessing Body Temperaturementioning

confidence: 99%

“…All objects produce radiant heat in the infrared region of the electromagnetic spectrum. Because bodies have temperatures above absolute zero, they emit radiation that forms an electromagnetic spectrum that can be absorbed by other surrounding bodies (Cuthbertson et al, 2019). Thermal infrared (TIR) sensors generate these images (thermograms) by capturing the infrared radiation emitted by objects.…”

Section: Advantages Of Sensors In Assessing Body Temperaturementioning

confidence: 99%

Transforming the Adaptation Physiology of Farm Animals through Sensors

Neethirajan¹

2020

Preprint

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Despite recent scientific advancements, there is a gap in the use of technology to measure signals, behaviors, and processes of adaptation physiology of farm animals. Sensors present exciting opportunities for sustained, real-time, non-intrusive measurement of farm animal behavioral, mental, and physiological parameters with the integration of nanotechnology and instrumentation. This paper critically reviews the sensing technology and sensor data-based models used to explore biological systems such as animal behavior, energy metabolism, epidemiology, immunity, health, and animal reproduction. The use of sensor technology to assess physiological parameters can provide tremendous benefits and tools to overcome and minimize production losses while making positive contributions to animal welfare. Of course, sensor technology is not free from challenges; these devices are at times highly sensitive and prone to damage from dirt, dust, sunlight, colour, fur, feathers, and environmental forces. Rural farmers unfamiliar with the technologies must be convinced and taught to use sensor-based technologies in farming and livestock management. While there is no doubt that demand will grow for non-invasive sensor-based technologies that require minimum contact with animals and can provide remote access to data, their true success lies in the acceptance of these technologies by the livestock industry.

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“…All objects produce radiant heat in the infrared region of the electromagnetic spectrum. As bodies have temperatures above absolute zero, they emit radiation that forms an electromagnetic spectrum that can be absorbed by other surrounding bodies [ 26 ]. Thermal infrared (TIR) sensors generate these images (thermograms) by capturing the infrared radiation emitted by objects.…”

Section: Assessing Adaptation Physiology Parametersmentioning

confidence: 99%

“…Thermographic images may point to alterations in blood flow resulting from increased body temperature due to stressful environmental conditions. These changes can be related to blood flow and heat transfer in animals [ 26 ]. The temperature of the eye area measured by TIR sensors has been shown to correlate significantly to changes in core body temperature [ 6 ].…”

Section: Assessing Adaptation Physiology Parametersmentioning

confidence: 99%

Transforming the Adaptation Physiology of Farm Animals through Sensors

Neethirajan¹

2020

Animals

View full text Add to dashboard Cite

Despite recent scientific advancements, there is a gap in the use of technology to measure signals, behaviors, and processes of adaptation physiology of farm animals. Sensors present exciting opportunities for sustained, real-time, non-intrusive measurement of farm animal behavioral, mental, and physiological parameters with the integration of nanotechnology and instrumentation. This paper critically reviews the sensing technology and sensor data-based models used to explore biological systems such as animal behavior, energy metabolism, epidemiology, immunity, health, and animal reproduction. The use of sensor technology to assess physiological parameters can provide tremendous benefits and tools to overcome and minimize production losses while making positive contributions to animal welfare. Of course, sensor technology is not free from challenges; these devices are at times highly sensitive and prone to damage from dirt, dust, sunlight, color, fur, feathers, and environmental forces. Rural farmers unfamiliar with the technologies must be convinced and taught to use sensor-based technologies in farming and livestock management. While there is no doubt that demand will grow for non-invasive sensor-based technologies that require minimum contact with animals and can provide remote access to data, their true success lies in the acceptance of these technologies by the livestock industry.

show abstract

Methodology for data processing and analysis techniques of infrared video thermography used to measure cattle temperature in real time

Cited by 29 publications

References 30 publications

Non-Invasive Cattle Body Temperature Measurement Using Infrared Thermography and Auxiliary Sensors

Non-Invasive Cattle Body Temperature Measurement Using Infrared Thermography and Auxiliary Sensors

Transforming the Adaptation Physiology of Farm Animals through Sensors

Transforming the Adaptation Physiology of Farm Animals through Sensors

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