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Infrared imaging a new non-invasive machine learning technology for animal husbandry
The Imaging Science Journal ( IF 0.871 ) Pub Date : 2020-05-18 , DOI: 10.1080/13682199.2020.1848084
Manasee Choudhury 1 , Tulika Saikia 1 , Santanu Banik 1 , Girish Patil 2 , Seema Rani Pegu 1 , Swaraj Rajkhowa 1 , Arnab Sen 3 , Pranab Jyoti Das 1
Affiliation  

ABSTRACT Infrared thermography lends countless applications in biology and veterinary science. The popularity of the use of infrared imaging in the detection and mitigation of animal diseases has increased recently because of its non-invasiveness, ease of automation and keen sensitivity. The current review addresses the applicability of thermographic imaging for the diagnosis of common swine diseases viz. Foot and Mouth Disease, lameness, respiratory diseases and diarrhoea. Infrared scanning confirmed the increase in temperature of the body parts of infected animals compared to the normal animals. Besides this, the review also addresses the use of IRT technology in numerous conditions like detection of ovulation, male fertility, stress level, meat quality, population size etc. Because of its ease of handling, it can be implemented as a first-line screening tool in disease diagnosis. However, further research on the use of a thermal camera for pig health screening is still obligatory for confirmed diagnostic results.

中文翻译:

红外成像一种用于畜牧业的新型无创机器学习技术

摘要 红外热成像在生物学和兽医学中有无数应用。由于其非侵入性、易于自动化和敏锐的敏感性,近来在动物疾病的检测和缓解中使用红外成像越来越受欢迎。目前的审查解决了热成像在常见猪病诊断中的适用性,即。口蹄疫、跛足、呼吸系统疾病和腹泻。红外扫描证实,与正常动物相比,受感染动物身体部位的温度有所升高。除此之外,该评论还讨论了 IRT 技术在许多条件下的使用,如排卵检测、男性生育能力、压力水平、肉质、人口规模等。 由于其易于处理,它可以作为疾病诊断的一线筛查工具来实施。然而,对使用热像仪进行猪健康筛查的进一步研究仍然是确认诊断结果的必要条件。
更新日期:2020-05-18
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