| 水果病虫害无损检测技术研究进展 |
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| 引用本文： | 乔世成,田有文,何宽,姚萍,古文君,王建平.水果病虫害无损检测技术研究进展[J].食品科学,2019,40(11):227-234. |
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| 作者姓名： | 乔世成 田有文 何宽 姚萍 古文君 王建平 |
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| 作者单位： | 1.沈阳农业大学信息与电气工程学院，辽宁 沈阳 110866；2.内蒙古民族大学计算机科学与技术学院，内蒙古 通辽 028043；3.辽宁省农业信息化工程技术研究中心，辽宁 沈阳 110866；4.塔里木大学机械电气化工程学院，新疆 阿拉尔 843300 |
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| 基金项目： | 国家自然科学基金青年科学基金项目（31601219）；辽宁省科学事业公益研究基金资助项目（20170039）；内蒙古民族大学科学研究基金资助项目（NMDYB18023） |
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| 摘 要： | 水果的病害和虫害是影响水果品质等级鉴定的重要因素。水果在生长、加工、贮藏、运输过程中容易受到病菌侵染和害虫侵蚀,这将造成水果品质降低,同时对食品安全也会造成不良影响。本文综述了X射线成像技术、计算机视觉技术、核磁共振技术、光谱技术、新兴传感器技术等无损检测技术在水果病虫害识别与检测中的应用进展,并分析各技术的优势和劣势,重点介绍了高光谱成像技术在水果病虫害识别与检测方面的应用进展,分析存在的问题、展望发展趋势,为后续研究提供参考。
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| 关 键 词： | 水果 病害 虫害 无损检测技术 高光谱成像技术 |
Recent Progress in Technologies for Non-destructive Detection of Fruit Diseases and Pests |
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| QIAO Shicheng,TIAN Youwen,HE Kuan,YAO Ping,GU Wenjun,WANG Jianping.Recent Progress in Technologies for Non-destructive Detection of Fruit Diseases and Pests[J].Food Science,2019,40(11):227-234. |
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| Authors: | QIAO Shicheng TIAN Youwen HE Kuan YAO Ping GU Wenjun WANG Jianping |
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| Affiliation: | 1. College of Information and Electrical Engineering, Shenyang Agricultral University, Shenyang 110866, China; 2. College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao 028043, China; 3. Research Center of Liaoning Agricultural Informatization Engineering Technology, Shenyang 110866, China; 4. College of Mechanical and Electronic Engineering, Tarim University, Alaer 843300, China |
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| Abstract: | Diseases and pests are important factors affecting fruit quality grading. During the process of growth, processing, storage and transportation, fruit are susceptible to pathogens and pests, reducing fruit quality and causing adverse effects on food safety. Recent progress in the application of X-ray imaging, computer vision, nuclear magnetic resonance, spectroscopy and emerging sensors for the non-destructive detection of fruit diseases and pests is summarized in this article. Furthermore, the advantages and disadvantages of each technology are also analyzed, and particular focus is placed on the application of hyperspectral imaging technique in this field. Finally, existing problems and future directions are proposed in order to provide useful information for further research. |
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| Keywords: | fruit diseases pests non-destructive detection technologies hyperspectral imaging technology |
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