In-field grading and sorting technology of apples: A state-of-the-art review

分级(工程) 分类 领域(数学) 计算机科学 人工智能 工程类 计算机图形学(图像) 计算机视觉 数学 土木工程 算法 纯数学
作者
Jiangfan Yu,Zhao Zhang,Yifei Li,Wanjia Hua,Xinyu Wei,C. Igathinathane,Mustafa Mhamed,Wenqiang Zhang,Xiaoqiang Jiao,Liling Yang,Man Zhang,Han Li
出处
期刊:Computers and Electronics in Agriculture [Elsevier BV]
卷期号:226: 109383-109383 被引量:24
标识
DOI:10.1016/j.compag.2024.109383
摘要

• Comprehensive summary of apple in-field grading and sorting technology presented. • Both external and internal quality evaluation methods of apples evaluated. • Challenges of in-field grading and sorting summarized and feasible solutions provided. • In-field grading and sorting technology of apples reduces losses and benefits industries and producers. Apple is one of the most popular fruits. In-field grading and sorting of apples would enhance growers’ economic benefits by lowering production costs. This study reviews the key components and progress of the quality inspection algorithm for in-field grading and sorting of apples. Four key components (e.g., conveyor, imaging chamber, sorting actuator, and bin filler) are presented in detail, followed by summarizing the shortcomings of these components. The apple’s external (color, size, and defects) and internal quality inspection technologies, such as optical technologies of visible light, near-infrared (NIR), hyperspectral/multispectral imaging (HSI/MSI), and structured illumination (SI) were presented. Despite the excellent detection performance of emerging technologies ( e.g. , HSI, MSI, and SI), visible light is still dominantly used for in-filed grading. C hallenges in getting information on the whole surface area of the apple, uneven lighting, machine size, throughput, and associated costs hamper the commercialization of apple in-field grading and sorting equipment. At present, more efforts should be devoted to internal quality inspection, by developing reliable, fast, and accurate detection equipment and algorithms. With the advancement of sensors and automation algorithms, as well as the emergence of mechanical systems that are suitable for in-field use, it is anticipated that the apple in-field grading and sorting equipment that inspects both external and internal quality will be realized and commercialized in the near future.
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