Recent developments in hyperspectral imaging for assessment of food quality and safety

H Huang, L Liu, MO Ngadi - Sensors, 2014 - mdpi.com
Hyperspectral imaging which combines imaging and spectroscopic technology is rapidly
gaining ground as a non-destructive, real-time detection tool for food quality and safety …

Extraction of spectral information from hyperspectral data and application of hyperspectral imaging for food and agricultural products

L Ravikanth, DS Jayas, NDG White, PG Fields… - Food and bioprocess …, 2017 - Springer
Hyperspectral imaging is built with the aggregation of imaging, spectroscopy and
radiometric techniques. This technique observes the sample behaviour when it is exposed …

Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review—Part II: Applications

D Wu, DW Sun - Innovative Food Science & Emerging Technologies, 2013 - Elsevier
In recent years, hyperspectral imaging has gained a wide recognition as a non-destructive
and fast quality and safety analysis and assessment method for a wide range of food …

Hyperspectral imaging for seed quality and safety inspection: A review

L Feng, S Zhu, F Liu, Y He, Y Bao, C Zhang - Plant methods, 2019 - Springer
Hyperspectral imaging has attracted great attention as a non-destructive and fast method for
seed quality and safety assessment in recent years. The capability of this technique for …

Hyperspectral imaging analysis for ripeness evaluation of strawberry with support vector machine

C Guo, F Liu, W Kong, Y He, B Lou - Journal of Food Engineering, 2016 - Elsevier
A hyperspectral imaging system covering two spectral ranges (380–1030 nm and 874–1734
nm) was applied to evaluate strawberry ripeness. The spectral data were extracted from …

Classification of hybrid seeds using near-infrared hyperspectral imaging technology combined with deep learning

P Nie, J Zhang, X Feng, C Yu, Y He - Sensors and Actuators B: Chemical, 2019 - Elsevier
The rapid and efficient selection of eligible hybrid progeny is an important step in cross
breeding. However, selecting hybrid offspring that meets specific requirements can be time …

Hyperspectral imaging technology combined with deep learning for hybrid okra seed identification

Z Yu, H Fang, Q Zhangjin, C Mi, X Feng, Y He - Biosystems Engineering, 2021 - Elsevier
Highlights•Hyperspectral imaging combined with deep learning method produces a
promising technique to identify hybrid okra seeds.•Deep learning showed the superior …

Application of near-infrared spectroscopy and hyperspectral imaging combined with machine learning algorithms for quality inspection of grape: a review

W Ye, W Xu, T Yan, J Yan, P Gao, C Zhang - Foods, 2022 - mdpi.com
Grape is a fruit rich in various vitamins, and grape quality is increasingly highly concerned
with by consumers. Traditional quality inspection methods are time-consuming, laborious …

[HTML][HTML] Digital techniques and trends for seed phenotyping using optical sensors

F Liu, R Yang, R Chen, ML Guindo, Y He, J Zhou… - Journal of Advanced …, 2024 - Elsevier
Background The breeding of high-quality, high-yield, and disease-resistant varieties is
closely related to food security. The investigation of breeding results relies on the evaluation …

Classification of maize seeds of different years based on hyperspectral imaging and model updating

M Huang, J Tang, B Yang, Q Zhu - Computers and Electronics in …, 2016 - Elsevier
Seed classification and identification exhibit potential for detecting seed purity and
increasing crop yield. In this study, hyperspectral imaging was employed to develop …