禽蛋品质无损检测及分级技术研究进展

Research progress on nondestructive testing and grading technology of egg quality

禽蛋产业是世界农业产业的重要组成部分,禽蛋产业也是我国农业的关键组成,是关系民生和社会稳定的重要产业。目前,禽蛋企业主要是依靠人工分选,劳动强度大且效率低,检测精度无法保证。因此,禽蛋品质的快速无损检测及分级研究对产业发展具有重要意义。本文根据现有研究对禽蛋无损检测中广泛使用的声学检测、机器视觉检测、光学检测等方法的研究现状进行综述,阐明不同的无损检测方法在实际的禽蛋挑选及分级中的适用性。其中,声学检测主要应用于禽蛋表面的裂纹检测与分级;机器视觉技术主要应用于禽蛋的大小、颜色等外观参数检测;光学检测主要是用于禽蛋新鲜度等内部品质检测。本文有望为禽蛋产业智能化分级技术的发展提供一定的理论支持。

The egg industry is an important part of the world’s agricultural industry,and it is also a key component of agriculture as an important industry related to people’s livelihood and social stability. Currently,poultry enterprises mainly rely on manual selection and classification,which is high labor intensity and low efficiency with low detection accuracy. Therefore,the rapid nondestructive testing and grading research of egg quality is of great significance to the development of the industry. Based on previous studies,this paper summarized the widely used nondestructive testing methods including acoustic detection,machine vision detection,and optical detection methods to clarify the applicability of different nondestructive testing methods. The acoustic detection is mainly used in eggs surface crack detection and classification. Machine vision technology is mainly used to detect the size,color,and other appearance parameters of eggs. Optical properties testing is mainly used for internal quality testing of poultry eggs such as freshness. This paper is expected to support the development of intelligent classification technology in the egg industry.