Using deep learning to detect defects in manufacturing: a comprehensive survey and current challenges

J Yang, S Li, Z Wang, H Dong, J Wang, S Tang - Materials, 2020 - mdpi.com
The detection of product defects is essential in quality control in manufacturing. This study
surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects …

Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

Y Lu, W Saeys, M Kim, Y Peng, R Lu - Postharvest Biology and Technology, 2020 - Elsevier
In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …

Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging

B Li, X Xu, L Zhang, J Han, C Bian, G Li, J Liu… - ISPRS Journal of …, 2020 - Elsevier
Rapid and accurate biomass and yield estimation facilitates efficient plant phenotyping and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …

[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 …

Current application of advancing spectroscopy techniques in food analysis: data handling with chemometric approaches

M Kharbach, M Alaoui Mansouri, M Taabouz, H Yu - Foods, 2023 - mdpi.com
In today's era of increased food consumption, consumers have become more demanding in
terms of safety and the quality of products they consume. As a result, food authorities are …

Potential of near-infrared (NIR) spectroscopy and hyperspectral imaging for quality and safety assessment of fruits: An overview

I Chandrasekaran, SS Panigrahi, L Ravikanth… - Food Analytical …, 2019 - Springer
Daily consumption of fruits has rendered sophisticated techniques for accurate evaluation of
its quality and how it can be initiated in a more rapid way has become a state-of-art for the …

Nondestructive measurement of soluble solids content in apple using near infrared hyperspectral imaging coupled with wavelength selection algorithm

D Zhang, Y Xu, W Huang, X Tian, Y Xia, L Xu… - Infrared Physics & …, 2019 - Elsevier
Hyperspectral imaging is a promising technique for nondestructive sensing of multiple
quality attributes of apple fruit. This research evaluated and compared different …

Close-range, ground-based hyperspectral imaging for mining applications at various scales: Review and case studies

D Krupnik, S Khan - Earth-science reviews, 2019 - Elsevier
Detailed mapping of mineral phases at centimeter scale can be useful for geological
investigation, including resource exploration. This work reviews case histories of ground …

Application of visible-near-infrared hyperspectral imaging technology coupled with wavelength selection algorithm for rapid determination of moisture content of …

Z Guo, J Zhang, C Ma, X Yin, Y Guo, X Sun… - Journal of Food …, 2023 - Elsevier
Moisture content is a crucial factor affecting the quality of soybean seeds. However, the
determination of moisture content of soybean seeds is time-consuming and expensive. In …

Uncertainty assessment for firmness and total soluble solids of sweet cherries using hyperspectral imaging and multivariate statistics

RR Pullanagari, M Li - Journal of Food Engineering, 2021 - Elsevier
Quantifying cherry fruit quality parameters is essential to maintaining high quality produce
throughout the supply chain as it influences consumer confidence in the product …