Analyzing the quality parameters of apples by spectroscopy from Vis/NIR to NIR region: A comprehensive review

J Grabska, KB Beć, N Ueno, CW Huck - Foods, 2023 - mdpi.com
Spectroscopic methods deliver a valuable non-destructive analytical tool that provides
simultaneous qualitative and quantitative characterization of various samples. Apples …

Nondestructive measurement of fruit and vegetable quality

BM Nicolaï, T Defraeye, B De Ketelaere… - Annual review of …, 2014 - annualreviews.org
We review nondestructive techniques for measuring internal and external quality attributes
of fruit and vegetables, such as color, size and shape, flavor, texture, and absence of …

Recent developments in noninvasive techniques for fresh fruit and vegetable internal quality analysis

P Butz, C Hofmann, B Tauscher - Journal of food science, 2005 - Wiley Online Library
This review covers developments in the field of noninvasive techniques for quality analysis
of fresh fruit and vegetables over the past decade up to the year 2005. A chapter on the …

Detection of cold injury in peaches by hyperspectral reflectance imaging and artificial neural network

L Pan, Q Zhang, W Zhang, Y Sun, P Hu, K Tu - Food chemistry, 2016 - Elsevier
Peaches in cold storage may develop chill damage, as symptomized by deteriorated texture
and lack of juice. To examine fruit quality, we established a hyperspectral imaging system to …

Liquid state 1H high field NMR in food analysis

L Mannina, AP Sobolev, S Viel - Progress in Nuclear Magnetic Resonance …, 2012 - Elsevier
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Detection of internal defect of apples by a multichannel Vis/NIR spectroscopic system

Y Huang, R Lu, K Chen - Postharvest Biology and Technology, 2020 - Elsevier
This paper reports on nondestructive detection of internal defect in apples by using a new
noncontact multichannel spectroscopic system in semi-transmittance mode for the visible …

Efficient fruit grading system using spectrophotometry and machine learning approaches

H Chopra, H Singh, MS Bamrah… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Physical Classification of ripe fruits is an expensive affair in the agriculture industry and
human error can lead to inaccurate results. This paper introduces the concept of an …

Non-destructive defect detection of apples by spectroscopic and imaging technologies: a review

Y Lu, R Lu - Transactions of the ASABE, 2017 - elibrary.asabe.org
Apples are susceptible to a wide range of defects that can occur in the orchard and during
the post-harvest period. Detection of these defects by non-destructive sensing techniques is …

Apple mealiness detection using hyperspectral scattering technique

M Huang, R Lu - Postharvest Biology and Technology, 2010 - Elsevier
Mealiness is a symptom of fruit physiological disorder, which is characterized by abnormal
softness and lack of free juice in the fruit. This research investigated the potential of …

MRI and X-ray CT study of spatial distribution of core breakdown in 'Conference'pears

J Lammertyn, T Dresselaers, P Van Hecke… - Magnetic Resonance …, 2003 - Elsevier
Two non-destructive tomographic techniques, X-ray CT imaging and magnetic resonance
imaging (MRI), were applied to study the development of core breakdown disorder in …