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 …

Deep learning applications for hyperspectral imaging: a systematic review

A Ozdemir, K Polat - Journal of the Institute of Electronics and …, 2020 - iecscience.org
Since the acquisition of digital images, scientific studies on these images have been making
significant progress. The sizes and quality of the images obtained have increased greatly …

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 …

Rapid and non-destructive classification of new and aged maize seeds using hyperspectral image and chemometric methods

Z Wang, W Huang, X Tian, Y Long, L Li… - Frontiers in Plant …, 2022 - frontiersin.org
The aged seeds have a significant influence on seed vigor and corn growth. Therefore, it is
vital for the planting industry to identify aged seeds. In this study, hyperspectral reflectance …

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 …

Application of spectroscopic techniques combined with chemometrics to the authenticity and quality attributes of rice

S Shi, Z Tang, Y Ma, C Cao, Y Jiang - Critical Reviews in Food …, 2023 - Taylor & Francis
Rice is a staple food for two-thirds of the world's population and is grown in over a hundred
countries around the world. Due to its large scale, it is vulnerable to adulteration. In addition …

Rice seed vigor detection based on near-infrared hyperspectral imaging and deep transfer learning

H Qi, Z Huang, Z Sun, Q Tang, G Zhao, X Zhu… - Frontiers in Plant …, 2023 - frontiersin.org
Vigor is one of the important factors that affects rice yield and quality. Rapid and accurate
detection of rice seed vigor is of great importance for rice production. In this study, near …

Maturity determination of single maize seed by using near-infrared hyperspectral imaging coupled with comparative analysis of multiple classification models

Z Wang, X Tian, S Fan, C Zhang, J Li - Infrared Physics & Technology, 2021 - Elsevier
Maize is an important food crop in the world and it is used in many fields. The classification
of maize seed maturity is of great value because it could increase the yield. In this study …

HyperSeed: An End-to-End method to process hyperspectral images of seeds

T Gao, AKN Chandran, P Paul, H Walia, H Yu - Sensors, 2021 - mdpi.com
High-throughput, nondestructive, and precise measurement of seeds is critical for the
evaluation of seed quality and the improvement of agricultural productions. To this end, we …

Acquisition and analysis of hyperspectral data for surface contamination level of insulating materials

C Xia, M Ren, B Wang, M Dong, B Song, Y Hu… - Measurement, 2021 - Elsevier
Severe contamination increases the risk of creeping discharge even flashover of the
insulating materials. In pursuit of a reliable remote monitoring method to prevent unexpected …