alexa Infrared Thermography as a Prognostic Livestock Agrotechnology: A Critique

ISSN: 2168-9881

Agrotechnology

  • Editorial   
  • Agrotechnol 2015, Vol 4(1): e112
  • DOI: 10.4172/2168-9881.1000e112

Infrared Thermography as a Prognostic Livestock Agrotechnology: A Critique

Akbar Nikkhah*
Department of Animal Sciences, Faculty of Agricultural Sciences, University of Zanjan, Zanjan, Iran
*Corresponding Author: Akbar Nikkhah, Chief Highly Distinguished Professor, Department of Animal Sciences, Faculty of Agricultural Sciences, University of Zanjan, Zanjan 313-45195, Iran, Tel: +98-241-5152801, Fax: +98-241-5283202, Email: [email protected]

Received Date: Nov 20, 2014 / Accepted Date: Nov 22, 2014 / Published Date: Nov 24, 2014

Editorial

The objective of this article is to critically and pragmatically evaluate the pros and cons of Infrared thermography (IRT) as a postmodern prognostic livestock agrotechnology. The IRT detects thermal radiation from objects [1]. This technology offers a noninvasive noncontact management tool for farmers to detect circadian and weekly fluctuations as well as significant short- and long-term changes in skin temperature from different tissues [2-4]. Such temperature changes would be considered as an indicator of metabolic alterations in underlying tissues [5,6].

The temperature of any surface including body depends closely on blood flow and tissue metabolism rate [1,7]. Therefore, the potential exists to monitor and quantify the physiological and health states of underlying tissues by measuring skin temperature and its circadian, day-to-day, seasonal, and circannual oscillations [8]. The IRT may be utilized to diagnose inflammatory conditions, such as sole abscesses and laminitis in horses and dairy cows [1,3,4,6], hot-iron and freeze branding in cattle [9], whole body physiological state using eye temperature in equine and ruminants [10], and mastitis in dairy cows, sheep and camel [11-14]. For instance, feet soles suffering from subclinical laminitis appear soft and warm well before other clinical and severe signs (e.g., color changes, lesions, hemorrhages, and ulcers) appear [6]. As such, IRT could potentially be used for early detection and quantification of inflammation. If capable so, IRT may help to early diagnose the many syndromes and diseases in farm animals before their devastating health and economical consequences occur. This would mean a prognostic function for IRT in modern and postmodern livestock agrotechnology. Such a capability would allow interventions to prevent and attenuate unhealthy conditions. However, such solid and consistent applications will yet need to be realized on a global scale, which necessitates considerably more extensive and longitudinal studies.

Images of IRT are taken using hand-held portable infrared cameras that are increasingly advancing in shape and function. Cameras must be calibrated to ambient temperature and absorptive conditions on each sampling day. To minimize effects of environmental noises on thermal data, all images must be scanned within the same environmental conditions and at the same distance from the surface of interest. For example, hoof and skin surfaces must be free of debris and humidity before images are taken. Afterwards, images are captured using a fixed control temperature range according to the range of temperature in the surface of interest. Usually, the continuous camera output for each case (i.e., animal, poultry) for each collection time is saved (e.g., for 5-10 s) onto a digital video with particular numbers of individual frames (e.g., 10-50) per s of recording. Single digitized image is captured as a still and saved into the grey scale graphics file prior to analysis using image processing softwares. Images are calibrated by relating each of the shades of grey on the digitized image to a specific temperature for all pixels. It is important to remove any outlier maximum temperatures form extraneous particles. Also, depending on the surface of interest, a control skin area should be traced for within-area and within-animal corrections. For this, the maximum relative temperature of the control area must be deducted from that of the target surface to minimize variability and allow inter-animal comparisons [6].

Generally, IRT is a noninvasive tool that poses minimum stress to livestock and has the ability to diagnose major diseases [15,16]. This uniqueness attracts greater attention in animal welfare as an increasing concern for the global industry [15,17]. Recently, more work has been conducted to get the industry better acquainted with instrumentation and applications of IRT, particularly in equine production. All in all, effective education of IRT’s SciTech including advantages and disadvantages to producers and investors will enable practices and interventions towards its efficient and compelling applications in future [7,8].

The high cost may be a major source of discouragement that could only be dealt with through interdisciplinary education. Although rising research evidence suggests that IRT reliably monitor skin temperature changes due to inflammatory or abnormal tissue and cell physiological conditions, its forecasting capability long before clinical symptoms occur (i.e., early enough prognosis) remains unrevealed. Artifacts are of concern as well. These unreal and unrepresentative values stem from the several interfering factors that affect the extent and rate of thermal radiations detected by the camera. In fact, the thermal radiation specifically coming from the surface of interest, and not from other ambient sources, must be specifiable. Moreover, IRT can only determine possible changes in the skin temperature, but informs little on causes. This implies that other management tools must be used alongside IRT for accurate measurements, effective prevention, and working treatments. Non-disease factors influencing skin temperatures must be specified and quantified for IRT to gain global on-farm merit for any future recommendation as a prognostic livestock agrotechnology.

Acknowledgment

The Iranian Ministry of Science Research & Technology, National Elite Foundation, and University of Zanjan are gratefully thanked for supporting the author’s global programs of optimizing science edification in the new millennium.

References

Citation: Nikkhah A (2015) Infrared Thermography as a Prognostic Livestock Agrotechnology: A Critique. Agrotechnol 4: e112. Doi: 10.4172/2168-9881.1000e112

Copyright: ©2014 Nikkhah A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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