The impact of high-quality data on the assessment results of visible/near-infrared hyperspectral imaging and development direction in the food fields: a review

H Xu, J Ren, J Lin, S Mao, Z Xu, Z Chen, J Zhao… - Journal of Food …, 2023 - Springer
Over the past decades, food quality and safety have seriously been disturbing public health.
Traditional monitoring methods of food-quality evaluation have been time consuming and …

Recent developments of e-sensing devices coupled to data processing techniques in food quality evaluation: a critical review.

H Abi Rizk, D Bouveresse, J Chamberland… - Analytical …, 2023 - pubs.rsc.org
A greater demand for high-quality food is being driven by the growth of economic and
technological advancements. In this context, consumers are currently placing special …

Detection of early bruises on loquat using hyperspectral imaging technology coupled with band ratio and improved Otsu method

H Yin, B Li, F Zhang, C Su, AG Ou-Yang - Spectrochimica Acta Part A …, 2022 - Elsevier
The bruising is one of the major factors affecting the quality of loquat and the bruised areas
of loquat are also prone to harbor bacteria and molds. Therefore, it is critical to detect early …

[HTML][HTML] Ripeness evaluation of Achacha fruit using hyperspectral image data

NMT Nguyen, NS Liou - Agriculture, 2022 - mdpi.com
In this study, spectral data within the wavelength range of 400–780 nm were used to
evaluate the ripeness stages of achacha fruits. The ripeness status of achacha fruits was …

[HTML][HTML] Detection of defective features in cerasus humilis fruit based on hyperspectral imaging technology

B Wang, H Yang, S Zhang, L Li - Applied Sciences, 2023 - mdpi.com
Detection of skin defects in Cerasus humilis fruit is a critical process to guarantee its quality
and price. This study presents a valid method for the detection of defective features in …

[HTML][HTML] Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

M Rogers, J Blanc-Talon, M Urschler… - Journal of Food …, 2023 - Springer
Over the past two decades, hyperspectral imaging has become popular for non-destructive
assessment of food quality, safety, and crop monitoring. Imaging delivers spatial information …

Infrared image super-resolution: Systematic review, and future trends

Y Huang, T Miyazaki, X Liu, S Omachi - arXiv preprint arXiv:2212.12322, 2022 - arxiv.org
Image Super-Resolution (SR) is essential for a wide range of computer vision and image
processing tasks. Investigating infrared (IR) image (or thermal images) super-resolution is a …

[HTML][HTML] Study on qualitative impact damage of loquats using hyperspectral technology coupled with texture features

B Li, Z Han, Q Wang, Z Sun, Y Liu - Foods, 2022 - mdpi.com
Bruising is one of the main problems in the post-harvest grading and processing of
'Zaozhong 6'loquats, reducing the economic value of loquats, and even food quality and …

[HTML][HTML] Detecting Surface Defects of Achacha Fruit (Garcinia humilis) with Hyperspectral Images

NMT Nguyen, NS Liou - Horticulturae, 2023 - mdpi.com
Hyperspectral imaging data within the wavelength range of 400–1000 nm were used to
classify the common skin conditions (ie, normal, scar, decay, and insect bite) of achacha …

Full‐surface defect detection of navel orange based on hyperspectral online sorting technology

M Shang, L Xue, Y Zhang, M Liu, J Li - Journal of Food Science, 2023 - Wiley Online Library
The whole‐surface hyperspectral image acquisition of navel orange is particularly important
for surface defect detection and quality classification. Because the light intensity at the edge …