scholarly journals Detection of aflatoxin B1 (AFB1) in individual maize kernels using short wave infrared (SWIR) hyperspectral imaging

2017 ◽  
Vol 157 ◽  
pp. 13-23 ◽  
Author(s):  
Xuan Chu ◽  
Wei Wang ◽  
Seung-Chul Yoon ◽  
Xinzhi Ni ◽  
Gerald W. Heitschmidt
Keyword(s):  
Hyperspectral Imaging ◽  
Aflatoxin B1 ◽  
Short Wave ◽  
Short Wave Infrared ◽  
Maize Kernels

Classification of different level of Aflatoxin B1 on corn kernels surface using short-wave infrared reflectance hyperspectral imaging

2013 ◽  
Author(s):  
Wei Wang ◽  
Kurt C. Lawrence ◽  
Gerald W. Heitschmidt ◽  
William R. Windham ◽  
Yankun Peng ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Aflatoxin B1 ◽  
Short Wave ◽  
Infrared Reflectance ◽  
Short Wave Infrared ◽  
Corn Kernels

Short wave infrared (SWIR) hyperspectral imaging technique for examination of aflatoxin B1 (AFB1) on corn kernels

Food Control ◽  
2015 ◽  
Vol 51 ◽  
pp. 171-176 ◽  
Author(s):  
Lalit Mohan Kandpal ◽  
Sangdae Lee ◽  
Moon S. Kim ◽  
Hyungjin Bae ◽  
Byoung-Kwan Cho
Keyword(s):  
Hyperspectral Imaging ◽  
Aflatoxin B1 ◽  
Imaging Technique ◽  
Short Wave ◽  
Short Wave Infrared ◽  
Corn Kernels

Rapid assessment of corn seed viability using short wave infrared line-scan hyperspectral imaging and chemometrics

2018 ◽  
Vol 255 ◽  
pp. 498-507 ◽  
Author(s):  
Collins Wakholi ◽  
Lalit Mohan Kandpal ◽  
Hoonsoo Lee ◽  
Hyungjin Bae ◽  
Eunsoo Park ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Rapid Assessment ◽  
Seed Viability ◽  
Short Wave ◽  
Corn Seed ◽  
Line Scan ◽  
Short Wave Infrared

Comparison of Visible–Near Infrared and Short Wave Infrared hyperspectral imaging for the evaluation of rainbow trout freshness

2014 ◽  
Vol 56 ◽  
pp. 25-34 ◽  
Author(s):  
Mostafa Khojastehnazhand ◽  
Mohammad Hadi Khoshtaghaza ◽  
Barat Mojaradi ◽  
Masoud Rezaei ◽  
Mohammad Goodarzi ◽  
...  
Keyword(s):  
Rainbow Trout ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Short Wave ◽  
Short Wave Infrared

scholarly journals Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis–NIR (400–1000 nm) hyperspectral imaging

2020 ◽  
Author(s):  
Subir Kumar Chakraborty ◽  
Naveen Kumar Mahanti ◽  
Shekh Mukhtar Mansuri ◽  
Manoj Kumar Tripathi ◽  
Nachiket Kotwaliwale ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Aflatoxin B1 ◽  
Maize Kernels ◽  
Non Destructive

scholarly journals 843 Seeing water in the skin: Hyperspectral imaging in the short-wave infrared

2020 ◽  
Vol 140 (7) ◽  
pp. S110
Author(s):  
L. Shmuylovich ◽  
D.K. Mishra ◽  
H. Hurbon ◽  
A. Yu ◽  
T. Du ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Short Wave ◽  
Short Wave Infrared

Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared ( SWIR ) hyperspectral imaging

2021 ◽  
Author(s):  
Yi‐Jing Sheen ◽  
Wayne Huey‐Herng Sheu ◽  
Hsin‐Che Wang ◽  
Jun‐Peng Chen ◽  
Yi‐Hsuan Sun ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Short Wave ◽  
Small Fiber Neuropathy ◽  
Small Fiber ◽  
Short Wave Infrared

scholarly journals Surface Investigation of Photo-Degraded Wood by Colour Monitoring, Infrared Spectroscopy, and Hyperspectral Imaging

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Giorgia Agresti ◽  
Giuseppe Bonifazi ◽  
Luca Calienno ◽  
Giuseppe Capobianco ◽  
Angela Lo Monaco ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Infrared Region ◽  
Short Wave ◽  
Infrared Range ◽  
Surface Chemical ◽  
Colour Changes ◽  
Short Wave Infrared ◽  
Near Infrared Range

The aim of this investigation is to study the changes occurring on the surface of poplar wood exposed to artificial irradiation in a Solar Box. Colour changes were monitored with a reflectance spectrophotometer. Surface chemical modifications were evaluated by measuring the infrared spectra. Hyperspectral imaging was also applied to study the surface wood changes in the visible-near infrared and the short wave infrared wavelength ranges. The data obtained from the different techniques were compared to find the possible correlations in order to evaluate the applicability of the Hyperspectral imaging to investigate wood modifications in a non-invasive modality. The study of colour changes showed an important variation due to photo-irradiation which is the greatest change occurring within the first 24 hours. Infrared spectroscopy revealed that lignin degrades mainly in the first 48 hours. Concerning Hyperspectral imaging, the spectral features in the visible-near infrared range are mainly linked to the spectral shape, whereas in the short wave infrared cellulose and lignin affect shape and reflectance levels. The proposed approach showed that a correlation can be established between colour variation and wood degradation in the visible-near infrared range; furthermore in the short wave infrared region surface chemical changes can be assessed.

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