基于机器视觉的红枣外部品质检测技术研究进展

近年来，具有快速、准确、客观和无损等特点的机器视觉技术已经被广泛用于农产品外部品质检测，以解决人工检测中存在的人力成本高、标准不统一和效率低等问题。在红枣加工和销售过程中，外部特征是影响其品质的重要因素，快速准确地对红枣外部品质检测能有效保障食品品质及安全、提高企业生产效率。本文综述了机器视觉技术在红枣外部品质检测中的应用，针对缺陷、大小、纹理、颜色和综合外部品质等指标总结了机器视觉检测方法的特点、存在的问题并阐明了其发展趋势，为我国红枣高效、快速检测分级装备的研发提供参考。

Research Progress on External Quality Detection and Classification Technology of Jujube Based on Machine Vision

In recent years, machine vision technology, which is fast, accurate, objective and nondestructive, has been widely used in the external quality detection of agricultural products to solve the problems of high cost and low efficiency in manual detection. In the process of processing and circulation of jujubes, external characteristics are important factors affecting their quality. Rapid and accurate detection of external quality of jujubes can effectively guarantee food quality and safety and improve production efficiency of enterprises. In this paper, the application of machine vision technology in the external quality detection of jujubes is reviewed. The characteristics, existing problems and development trend of machine vision inspection methods are summarized according to defects, size, texture, color and comprehensive external quality, which provides reference for the research and development of efficient and rapid detection and grading equipment of jujubes in China.