Literature DB >> 28414525

Influence of physical and biological variability and solution methods in fruit and vegetable quality nondestructive inspection by using imaging and near-infrared spectroscopy techniques: A review.

Baohua Zhang1, Dejian Dai1, Jichao Huang1, Jun Zhou1, Qifa Gui1, Fang Dai1.   

Abstract

Over the past decades, imaging and spectroscopy techniques have been rapidly developing and widely applied in nondestructive fruit and vegetable quality assessment. The physical properties (including size, shape, color, position, and temperature) and biological properties (including cultivar, season, maturity level and geographical origin) of fruits and vegetables vary from one to another. A great variety of physical and biological properties of agricultural products influence the optical propagation properties and interaction behaviors with incident light, thus decreasing the quality inspection accuracy. Many attempts have been made in image correction and spectral compensation methods to improve the inspection accuracy. This paper gives a detailed summary about influence of physical and biological variability, as well as the correction and compensation methods for eliminating or reducing the effects in fruit and vegetable quality nondestructive inspection by using imaging and spectroscopy techniques. The advantages and disadvantages of the solution methods are discussed and summarized. Additionally, the future challenges and potential trends are also reported.

Keywords:  Fruits and vegetables; image correction; imaging; non-destructive inspection; physical and biological variability; quality; spectral compensation; spectroscopy

Mesh:

Year:  2017        PMID: 28414525     DOI: 10.1080/10408398.2017.1300789

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  3 in total

1.  Uses of selection strategies in both spectral and sample spaces for classifying hard and soft blueberry using near infrared data.

Authors:  Menghan Hu; Guangtao Zhai; Yu Zhao; Zhaodi Wang
Journal:  Sci Rep       Date:  2018-04-27       Impact factor: 4.379

2.  Uninformative Biological Variability Elimination in Apple Soluble Solids Content Inspection by Using Fourier Transform Near-Infrared Spectroscopy Combined with Multivariate Analysis and Wavelength Selection Algorithm.

Authors:  Lin Zhang; Baohua Zhang; Jun Zhou; Baoxing Gu; Guangzhao Tian
Journal:  J Anal Methods Chem       Date:  2017-10-16       Impact factor: 2.193

3.  Nondestructive classification of soft rot disease in napa cabbage using hyperspectral imaging analysis.

Authors:  Hyeyeon Song; So-Ra Yoon; Yun-Mi Dang; Ji-Su Yang; In Min Hwang; Ji-Hyoung Ha
Journal:  Sci Rep       Date:  2022-08-29       Impact factor: 4.996

  3 in total

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