[HTML][HTML] Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review

J Wieme, K Mollazade, I Malounas, M Zude-Sasse… - biosystems …, 2022 - Elsevier
Highlights•Hyperspectral imaging is an effective tool for in assessing quality
parameters.•The most abundantly used wavelengths are 601–850 nm, used in over 50% of …

[HTML][HTML] Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments

G Özdoğan, X Lin, DW Sun - Trends in Food Science & Technology, 2021 - Elsevier
Background Sensory analysis is the evaluation of the signals received through senses of
sight, sound, taste, smell, and touch. The traditional methods for the analysis of sensory …

Measurement of optical properties of fruits and vegetables: A review

R Lu, R Van Beers, W Saeys, C Li, H Cen - Postharvest Biology and …, 2020 - Elsevier
This paper provides an overview of the principles and theory of measuring optical properties
of biological materials. It then presents the instrumentation and data analysis procedures for …

Detection of apple defect using laser-induced light backscattering imaging and convolutional neural network

A Wu, J Zhu, T Ren - Computers & Electrical Engineering, 2020 - Elsevier
The similarity of gray characteristics and shapes of the defects, stems, and calyxes in apple
images is a difficult challenge for automatic identification and detection of apple defects in …

Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy

T Ma, Y Xia, T Inagaki, S Tsuchikawa - Postharvest Biology and Technology, 2021 - Elsevier
Visible–near infrared (Vis–NIR) spectroscopy is a rapid and nondestructive method used to
characterize organic compounds in postharvest fruit and vegetable assessment. However …

Relationship between optical properties and soluble sugar contents of apple flesh during storage

K Wei, C Ma, K Sun, Q Liu, N Zhao, Y Sun, K Tu… - Postharvest Biology and …, 2020 - Elsevier
Soluble solids (SS) in fruit are mainly composed of soluble sugars. This research aims to
further the understanding of the detection mechanism of soluble solid content (SSC) based …

[HTML][HTML] Innovative hyperspectral imaging-based techniques for quality evaluation of fruits and vegetables: A review

Y Lu, Y Huang, R Lu - Applied Sciences, 2017 - mdpi.com
New, non-destructive sensing techniques for fast and more effective quality assessment of
fruits and vegetables are needed to meet the ever-increasing consumer demand for better …

[HTML][HTML] Non-destructive determination of color, titratable acidity, and dry matter in intact tomatoes using a portable Vis-NIR spectrometer

AA de Brito, F Campos, A dos Reis Nascimento… - Journal of Food …, 2022 - Elsevier
Fruit color and chemical composition, particularly dry matter and titratable acidity (TA), are
important tomato-quality parameters for consumers. Therefore, a single test allowing for the …

Optimization and compensation of models on tomato soluble solids content assessment with online Vis/NIRS diffuse transmission system

Y Yang, C Zhao, W Huang, X Tian, S Fan… - Infrared Physics & …, 2022 - Elsevier
This study developed an efficient and compensable model for predicting soluble solids
content (SSC) of tomato, based on the self-developed online Vis/NIRS diffuse transmission …

Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit

A Rodríguez-Ortega, N Aleixos, J Blasco… - Journal of Food …, 2023 - Elsevier
Hyperspectral imaging (HSI) is one of the most studied optical techniques to estimate the
internal quality of fruits and vegetables. Absorbance and reflectance of the light radiation are …