Detection of fungal infection in pistachio kernel by long-wave near-infrared hyperspectral imaging technique

2016 ◽  
Vol 8 (1) ◽  
pp. 129-135 ◽  
Author(s):  
K. Kheiralipour ◽  
H. Ahmadi ◽  
A. Rajabipour ◽  
S. Rafiee ◽  
M. Javan-Nikkhah ◽  
...  
Keyword(s):  
Fungal Infection ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging Technique ◽  
Long Wave ◽  
Pistachio Kernel

Evaluation of melon drying using hyperspectral imaging technique in the near infrared region

LWT ◽  
2021 ◽  
Vol 143 ◽  
pp. 111092
Author(s):  
Jose Marcelino S. Netto ◽  
Fernanda A. Honorato ◽  
Patrícia M. Azoubel ◽  
Louise E. Kurozawa ◽  
Douglas F. Barbin
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging Technique ◽  
Infrared Region ◽  
Near Infrared Region

Identification of species and geographical strains ofSitophilus oryzaeandSitophilus zeamaisusing the visible/near-infrared hyperspectral imaging technique

2014 ◽  
Vol 71 (8) ◽  
pp. 1113-1121 ◽  
Author(s):  
Yang Cao ◽  
Chaojie Zhang ◽  
Quansheng Chen ◽  
Yanyu Li ◽  
Shuai Qi ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging Technique ◽  
Identification Of Species

Applications of Visible and near-Infrared Hyperspectral Imaging for Non-Destructive Detection of the Agricultural Products

2011 ◽  
Vol 317-319 ◽  
pp. 909-914
Author(s):  
Ying Lan Jiang ◽  
Ruo Yu Zhang ◽  
Jie Yu ◽  
Wan Chao Hu ◽  
Zhang Tao Yin
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging System ◽  
Imaging Technique ◽  
Agricultural Products ◽  
Quality Inspection ◽  
Hyperspectral Reflectance ◽  
Imaging And Spectroscopy ◽  
Non Destructive

Agricultural products quality which included intrinsic attribute and extrinsic characteristic, closely related to the health of consumer and the exported cost. Now, imaging (machine vision) and spectrum are two main nondestructive inspection technologies to be applied. Hyperspectral imaging, a new emerging technology developed for detecting quality of the food and agricultural products in recent years, combined techniques of conventional imaging and spectroscopy to obtain both spatial and spectral information from an objective simultaneously. This paper compared the advantage and disadvantage of imaging, spectrum and hyperspectral imaging technique, and provided a description to basic principle, feature of hyperspectral imaging system and calibration of hyperspectral reflectance images. In addition, the recent advances for the application of hyperspectral imaging to agricultural products quality inspection were reviewed in other countries and China.

Detection of fungal infection and Ochratoxin A contamination in stored barley using near-infrared hyperspectral imaging

2016 ◽  
Vol 147 ◽  
pp. 162-173 ◽  
Author(s):  
Thiruppathi Senthilkumar ◽  
Digvir S. Jayas ◽  
Noel D.G. White ◽  
Paul G. Fields ◽  
Tom Gräfenhan
Keyword(s):  
Fungal Infection ◽  
Ochratoxin A ◽  
Hyperspectral Imaging ◽  
Near Infrared

Detection of the Protein Content of Ningxia Tan Sheep Using Hyperspectral Reflectance Imaging

2014 ◽  
Vol 513-517 ◽  
pp. 4235-4238
Author(s):  
Song Lei Wang ◽  
Gui Shan Liu ◽  
Xue Fu Li ◽  
Rui Ming Luo
Keyword(s):  
Protein Content ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Mean Squared Error ◽  
Imaging Technique ◽  
Linear Regression Analysis ◽  
Scatter Correction ◽  
Squared Error ◽  
Tan Sheep ◽  
Well Correlation

Near-infrared (NIR) hyperspectral imaging technique (900-1700nm) was evaluated to predict the protein content of Tan sheep. This research adopted NIR hyperspectral imaging to get imaging information of 72 mutton samples, multiplicative scatter correction was used to spectral data preprocessing. The optimal wavelengths were obtained through linear-regression analysis, BP neural network combined with actual measured values were established the prediction model and verified this model. The results showed that the prediction effect of model was very well. Correlation coefficient (Rp) and root mean squared error of prediction (RMSEP) of the protein were 0.87 and 1.19. The results indicated that it is feasible to predict the protein content of Tan sheep for NIR hyperspectral imaging technique.

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