文献类型： 外文期刊
作者： Yu, Jiangfan 1 ; Zhang, Zhao 1 ; Li, Yifei 1 ; Hua, Wanjia 1 ; Wei, Xinyu 1 ; Igathinathane, C. 5 ; Mhamed, Mustafa 1 ; Zhang, Wenqiang 4 ; Jiao, Xiaoqiang 6 ; Yang, Liling 7 ; Zhang, Man 1 ; Li, Han 1 ;
作者机构： 1.Minist Educ, Key Lab Smart Agr Syst Integrat, Beijing 100083, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Agr Informat Acquisit Technol, Beijing 100083, Peoples R China
3.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
4.China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
5.North Dakota State Univ, Dept Agr & Biosyst Engn, Fargo, ND 58102 USA
6.China Agr Univ, Coll Resource & Environm Sci, Beijing 100193, Peoples R China
7.Xinjiang Acad Agr Sci, Agr Mechanizat Inst, Urumqi 830091, Peoples R China
关键词： Apple; In-field; Grading; Sorting; Quality inspection; Optical imaging
期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：8.9； 五年影响因子：9.3 ）
ISSN： 0168-1699
年卷期： 2024 年 226 卷
页码：
收录情况： SCI
摘要： 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. Challenges 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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