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高光谱成像在农产品疾病以及农药残留检测中的应用
引用本文:卢旭恒,蒙庆华,唐 柳,黄 新,何馥娴,王瑞扬,张克智.高光谱成像在农产品疾病以及农药残留检测中的应用[J].食品安全质量检测技术,2021,12(11):4566-4574.
作者姓名:卢旭恒  蒙庆华  唐 柳  黄 新  何馥娴  王瑞扬  张克智
作者单位:南宁师范大学,南宁师范大学
基金项目:广西科技计划重点研发计划(桂科AB17292082)、广西科技计划项目(桂科AD20238059)、广西百色高新区引导项目(K-YS-ST-2018-01)
摘    要:高光谱成像(Hyperspectral imaging, HSI)技术是目前用于农产品品质无损评估的最有前途的技术之一。现代社会要求检测技术可以做到对农产品的病害严重程度有可靠准确的评估,高光谱成像技术作为一种非破坏性的检测技术,可用于农产品的无损检测,结合适当的光谱预处理使其更加全面。本文对高光谱成像原理、设备以及图像的优势进行了概述,介绍了近十年高光谱成像技术在农产品无损检测以及农药残留检测中的应用实例和局限性,并对研究人员的研究进行纵向比较,最后对高光谱成像技术的相关问题以及前景展开讨论。该研究也致力于早期检测农产品疾病、增加农产品产量以及降低农产品的种植成本。

关 键 词:高光谱成像  无损检测  农产品  农产品疾病  农药残留
收稿时间:2021/3/17 0:00:00
修稿时间:2021/6/8 0:00:00

Application of hyperspectral technology in the detection of crop diseases and pesticide residues
LU Xu-Heng,MENG Qing-Hu,TANG Liu,HUANG Xin,HE Fu-Xian,WANG Rui-Yang,ZHANG Ke-Zhi.Application of hyperspectral technology in the detection of crop diseases and pesticide residues[J].Food Safety and Quality Detection Technology,2021,12(11):4566-4574.
Authors:LU Xu-Heng  MENG Qing-Hu  TANG Liu  HUANG Xin  HE Fu-Xian  WANG Rui-Yang  ZHANG Ke-Zhi
Affiliation:Nanning Normal University,Nanning Normal University
Abstract:Hyperspectral imaging (HSI) is one of the most promising techniques for nondestructive evaluation of agricultural products. Modern society requires that the detection technology can achieve a reliable and accurate assessment of the severity of agricultural diseases. As a non-destructive detection technology, hyperspectral imaging technology can be used in the non-destructive detection of agricultural products, combined with appropriate spectral pretreatment to make it more comprehensive. This paper summarizes the principle, equipment and image advantages of hyperspectral imaging, introduces the application examples and limitations of hyperspectral imaging technology in nondestructive testing of agricultural products and pesticide residues detection in recent ten years, and makes a longitudinal comparison of researchers'' research. Finally, the related problems and prospects of hyperspectral imaging technology are discussed. The research is also committed to early detection of agricultural diseases, increasing the yield of agricultural products and reducing the planting cost of agricultural products.
Keywords:hyperspectral imaging  non-destructive testing  agricultural products  diseases of agricultural products  pesticide residues
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