中国柑橘外部品质机器视觉检测分级技术研究现状与展望

孙荣荣; 宋健宇; 张明; 李鹏; 吕强

中国柑橘外部品质机器视觉检测分级技术研究现状与展望

1.
西南大学柑桔研究所，重庆400712
2.
中国农业机械化科学研究院，北京100083
3.
西南大学柑桔研究所，重庆400712;西南大学工程技术学院，重庆400715

基金项目: 重庆市重点产业共性关键技术创新专项（项目编号：cstc2015zdcy-ztzx80001）；海南重点研发项目（项目编号：ZDYF2017028）；中央高校基本科研业务费专项资金（项目编号：XDJK2017C017）

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出版历程
- 收稿日期: 2018-09-20
- 出版日期: 2019-01-20

Application of Machine Vision in External Quality Detection and Grading of Citrus in China

摘要

摘要: 柑橘外部品质是影响消费者采购和决定市场价值的重要因素之一。柑橘颜色、大小、形状和缺陷等外部品质指标的人工检测与分级费时、费力并且主观性强。因检测结果客观性好、自动化程度高，传统机器视觉技术和高光谱视觉技术成为果蔬外部品质检测技术与装备研究的热点。综述了我国机器视觉技术和高光谱视觉技术在柑橘外部品质检测技术与装备的研究现状、面临的挑战和未来发展的方向。
- 柑橘 /
- 机器视觉 /
- 品质检测 /
- 分级
Abstract: External quality of citrus is one of the most important factors which can influence consumer’s purchase and decide their market value.External quality of citrus is generally evaluated by considering their color，size，shape，as well as the visual defects.Manual detection and grading for external quality are very time-consuming，laborious and subjective.Because of the objective and high degree of automation，traditional machine vision and hyperspectral vision have become a hot spot in the research of external quality testing technology and equipment of fruits and vegetables.Research status，challenges and future development directions of machine vision and hyperspectral vision technology in citrus external quality detection technology and equipment in China were reviewed.
- citrus /
- machine vision /
- quality detection /
- grading

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参考文献(32)

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