A review of mid-infrared and near-infrared imaging: principles, concepts and applications in plant tissue analysis

S Türker-Kaya, CW Huck - Molecules, 2017 - mdpi.com
Plant cells, tissues and organs are composed of various biomolecules arranged as
structurally diverse units, which represent heterogeneity at microscopic levels. Molecular …

Recent applications of multispectral imaging in seed phenotyping and quality monitoring—An overview

G ElMasry, N Mandour, S Al-Rejaie, E Belin… - Sensors, 2019 - mdpi.com
As a synergistic integration between spectroscopy and imaging technologies, spectral
imaging modalities have been emerged to tackle quality evaluation dilemmas by proposing …

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 …

Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality

D An, L Zhang, Z Liu, J Liu, Y Wei - Critical Reviews in Food …, 2023 - Taylor & Francis
Cereals provide humans with essential nutrients, and its quality assessment has attracted
widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as …

Assessment of seed quality using non-destructive measurement techniques: a review

A Rahman, BK Cho - Seed Science Research, 2016 - cambridge.org
Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …

[HTML][HTML] Recent advances in emerging techniques for non-destructive detection of seed viability: A review

Y Xia, Y Xu, J Li, C Zhang, S Fan - Artificial Intelligence in Agriculture, 2019 - Elsevier
Over the past decades, imaging and spectroscopy techniques have been developed rapidly
with widespread applications in non-destructive agro-food quality determination. Seeds are …

Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach

T Ma, S Tsuchikawa, T Inagaki - Computers and Electronics in Agriculture, 2020 - Elsevier
Seeds are the basis of the agricultural food industry, greater insights into seed viability
before sowing could improve storage management and field performance. In the present …

SAM-GAN: An improved DCGAN for rice seed viability determination using near-infrared hyperspectral imaging

H Qi, Z Huang, B Jin, Q Tang, L Jia, G Zhao… - … and Electronics in …, 2024 - Elsevier
Viability is a significant indicator of rice seeds, affecting rice yield and quality. Existing
viability determination methods cannot meet the requirements of rapidity, non-destructive …

Multispectral imaging for plant food quality analysis and visualization

WH Su, DW Sun - Comprehensive reviews in food science and …, 2018 - Wiley Online Library
The multispectral imaging technique is considered a reformation of hyperspectral imaging. It
can be employed to noninvasively and rapidly evaluate food quality. Even though several …

Determination of viability and vigor of naturally-aged rice seeds using hyperspectral imaging with machine learning

B Jin, H Qi, L Jia, Q Tang, L Gao, Z Li, G Zhao - Infrared Physics & …, 2022 - Elsevier
Viability and vigor of rice seeds are related to the yield. The existing seed viability and vigor
detection methods cannot meet the demand for precise planting, and a method that can …