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 …
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
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 …
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
Rapid and accurate biomass and yield estimation facilitates efficient plant phenoty** and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
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
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 …
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
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 …
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
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 …
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
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 …
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
Quantifying cherry fruit quality parameters is essential to maintaining high quality produce
throughout the supply chain as it influences consumer confidence in the product …
throughout the supply chain as it influences consumer confidence in the product …