关键词: clustering techniques image processing measurement uncertainty assessment vision-based measurement systems

Mesh : Female Male Animals Gryllidae / physiology

来  源:   DOI:10.3390/s24154936   PDF(Pubmed)

Abstract:
The exploitation of insects as protein sources in the food industry has had a strong impact in recent decades for many reasons. The emphasis for this phenomenon has its primary basis on sustainability and also to the nutritional value provided. The gender of the insects, specifically Acheta domesticus, is strictly related to their nutritional value and therefore the availability of an automatic system capable of counting the number of Acheta in an insect farm based on their gender will have a strong impact on the sustainability of the farm itself. This paper presents a non-contact measurement system designed for gender counting and recognition in Acheta domesticus farms. A specific test bench was designed and realized to force the crickets to travel inside a transparent duct, across which they were framed by means of a high-resolution camera able to capture the ovipositor, the distinction element between male and female. All possible sources of uncertainty affecting the identification and counting of individuals were considered, and methods to mitigate their effect were described. The proposed method, which achieves 2.6 percent error in counting and 8.6 percent error in gender estimation, can be of significant impact in the sustainable food industry.
摘要:
近几十年来,由于许多原因,在食品工业中利用昆虫作为蛋白质来源产生了巨大影响。这种现象的重点主要是可持续性以及所提供的营养价值。昆虫的性别,特别是Achetadomesticus,与它们的营养价值严格相关,因此,能够根据其性别计算昆虫农场中Acheta数量的自动系统的可用性将对农场本身的可持续性产生重大影响。本文介绍了一种非接触式测量系统,用于Achetadomesticus农场的性别计数和识别。设计并实现了一个特定的测试台,以迫使the在透明管道内行进,通过能够捕获产卵器的高分辨率相机对它们进行构图,男性和女性之间的区别元素。考虑了影响个体识别和计数的所有可能的不确定性来源,并介绍了减轻其影响的方法。所提出的方法,计数误差为2.6%,性别估计误差为8.6%,可以对可持续食品工业产生重大影响。
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