Application of Long-Wave Near Infrared Hyperspectral Imaging for Measurement of Soluble Solid Content (SSC) in Pear

2016 ◽  
Vol 9 (11) ◽  
pp. 3087-3098 ◽  
Author(s):  
Jiangbo Li ◽  
Xi Tian ◽  
Wenqian Huang ◽  
Baohua Zhang ◽  
Shuxiang Fan
2015 ◽  
Vol 73 (1) ◽  
Author(s):  
Feri Candra ◽  
Syed Abd. Rahman Abu Bakar

Hyperspectral imaging technology is a powerful tool for non-destructive quality assessment of fruits. The objective of this research was to develop novel calibration model based on hyperspectral imaging to estimate soluble solid content (SSC) of starfruits. A hyperspectral imaging system, which consists of a near infrared  camera, a spectrograph V10, a halogen lighting and a conveyor belt system, was used in this study to acquire hyperspectral  images of the samples in visible and near infrared (500-1000 nm) regions. Partial least square (PLS) was used to build the model and to find the optimal wavelength. Two different masks were applied for obtaining the spectral data. The optimal wavelengths were evaluated using multi linear regression (MLR). The coefficient of determination (R2) for validation using the model with first mask (M1) and second mask (M2) were 0.82 and 0.80, respectively.


RSC Advances ◽  
2020 ◽  
Vol 10 (55) ◽  
pp. 33148-33154
Author(s):  
Yuanyuan Shao ◽  
Yi Liu ◽  
Guantao Xuan ◽  
Yongxian Wang ◽  
Zongmei Gao ◽  
...  

Visible and near infrared (Vis-NIR) hyperspectral imaging was used for fast detection and visualization of soluble solid content (SSC) in ‘Beijing 553’ and ‘Red Banana’ sweet potatoes.


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