首页> 外文期刊>Journal of Stored Products Research >Thermal imaging to detect infestation by Cryptolestes ferrugineus inside wheat kernels.
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Thermal imaging to detect infestation by Cryptolestes ferrugineus inside wheat kernels.

机译:热成像技术可检测小麦粒中隐孢子虫的侵染。

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Canada's zero tolerance for live insects in grain received from farmers, and shipped to domestic and export buyers, has necessitated the development of an accurate insect detection method. An infrared thermal imaging system was developed to detect infestation by six developmental stages (four larval instars, pupae and adults) of Cryptolestes ferrugineus under the seed coat on the germ of the wheat kernels. The artificially infested wheat kernels were removed from the incubation room (30 degrees C), refrigerated (5 degrees C) for 60 s, maintained at ambient conditions for 20 s, and imaged using a thermal camera to identify each developmental stage (n = 283). The means of the highest 5% and 10% of all temperature values on the surface of the grain were significantly higher ( alpha = 0.05) for grains having young larvae inside and lower for grains having pupae inside. Temperature distribution on the surface of the infested kernels with different stages of C. ferrugineus was highly correlated with the respiration rate of each developmental stage (r = 0.83-0.91). The overall classification accuracy for a quadratic function was 83.5% and 77.7% for infested and sound kernels, respectively, and for a linear function, it was 77.6% and 83.0% for infested and sound kernels, respectively, in pairwise discriminations. Thermal imaging has the potential to identify whether the grain is infested or not, but is less effective in identifying which developmental stage is present. All rights reserved, Elsevier.
机译:加拿大对从农民那里购买并运往国内和出口购买者的谷物中的活昆虫的零容忍度,使得必须开发一种精确的昆虫检测方法。开发了红外热成像系统,以检测小麦粒胚种皮下的隐隐拟隐藻的六个发育阶段(四个幼虫,p和成虫)侵染。将人工感染的小麦粒从孵化室(30°C)中取出,冷藏(5°C)60 s,在环境条件下保持20 s,并使用热像仪成像以识别每个发育阶段(n = 283) )。谷物表面上所有温度值的最高5%和10%的平均值对于幼虫内部的幼虫而言明显较高(alpha = 0.05),而在内部具有p的谷物则较低。在不同阶段的铁锈衣壳的受感染籽粒表面温度分布与每个发育阶段的呼吸速率高度相关(r = 0.83-0.91)。对于成对的和有声的核,二次函数的总体分类准确度分别为83.5%和77.7%,对于线性函数,按成对判别,对被感染的和有声的核的总体分类准确度分别为77.6%和83.0%。热成像具有识别谷物是否受到侵染的潜力,但是在识别存在哪个发育阶段时效果不佳。保留所有权利,Elsevier。

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