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Thermal sorting

机译:热分选

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Sorting cattle by thermal imaging holds promise for more efficient cattle feeding. Mark Spire, DVM, gets almost giddy in discussing the latest results on the use of thermal imaging in feedlots. Spire and his Kansas State University (KSU) colleagues,Jim Drouillard and Jan Sargeant, have been studying the use of infrared technology as a diagnostic tool for some time now ("Seeing What Cattle 'Feel," May 2001 BEEF Feeder). Now, they're exploring the use of thermal imaging of feeder cattle as a means of sorting cattle into more efficient feeding groups. "Our studies show that high-metabolism cattle (redder thermal images) gain lager, convert better and produce higher-quality carcasses than cattle with slower metabolisms (bluer thermal images)," Spiresays. "Using infrared to sort a cattle population into high- and low-metabolism groups for finishing promises some great efficiencies in feed efficiency, better outcomes and profits." Spire says the group has seen as much as a 16 deg C difference in thermal temperature in cattle. Every 1 deg of surface temperature difference translates to a 0.2-lb. difference in gain.
机译:通过热成像对牛进行分选有望提高牛的饲养效率。 DVM的Mark Spire在讨论育肥场中使用热成像的最新结果时几乎感到头晕。 Spire和他在堪萨斯州立大学(KSU)的同事Jim Drouillard和Jan Sargeant一直在研究使用红外技术作为诊断工具已有一段时间了(“ Seeing What Cattle'Feel”,2001年5月,BEEF Feeder)。现在,他们正在探索将饲养牛的热成像技术用作将牛分类为更有效的饲养组的一种方法。 Spiresays说:“我们的研究表明,与代谢较慢的牛(较热的蓝色图像)相比,高代谢的牛(较热的红色图像)能获得更大的贮藏量,更好地转化并产生更高质量的car体。” “利用红外线将牛群分为高代谢和低代谢组进行精加工,有望在饲料效率,更好的产量和利润方面带来极大的提高。”斯皮尔说,研究小组发现牛的体温差异高达16摄氏度。每1度的表面温差转换为0.2磅。增益差异。

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