Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging

2020 ◽  
Vol 319 ◽  
pp. 126536 ◽  
Author(s):  
Chu Zhang ◽  
Wenyan Wu ◽  
Lei Zhou ◽  
Huan Cheng ◽  
Xingqian Ye ◽  
...  
Keyword(s):  
Deep Learning ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Chemical Compositions ◽  
Lycium Ruthenicum ◽  
Goji Berries ◽  
Lycium Ruthenicum Murr

Rapid determination of the chemical compositions of peanut seed (Arachis hypogaea.) Using portable near-infrared spectroscopy

2020 ◽  
Vol 110 ◽  
pp. 103138
Author(s):  
Muhammad Bilal ◽  
Zou Xiaobo ◽  
Muhmmad Arslan ◽  
Haroon Elrasheid Tahir ◽  
Muhammad Azam ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Arachis Hypogaea ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Chemical Compositions ◽  
Peanut Seed

Deep eutectic solvent-based extraction coupled with green two-dimensional HPLC-DAD-ESI-MS/MS for the determination of anthocyanins from Lycium ruthenicum Murr. fruit

2018 ◽  
Vol 10 (10) ◽  
pp. 1247-1257 ◽  
Author(s):  
Jun Sang ◽  
Bing Li ◽  
Ya-ya Huang ◽  
Qun Ma ◽  
Kang Liu ◽  
...  
Keyword(s):  
Analytical Methods ◽  
Deep Eutectic Solvent ◽  
Deep Eutectic Solvents ◽  
Two Dimensional ◽  
Macroporous Resin ◽  
Esi Ms ◽  
Lycium Ruthenicum ◽  
Total Anthocyanins ◽  
Lycium Ruthenicum Murr

This study aimed to extract and separate total anthocyanins from Lycium ruthenicum Murr. by combining deep eutectic solvents (DES) with macroporous resin chromatography and to develop green analytical methods for the determination of anthocyanins.

Classification of hybrid seeds using near-infrared hyperspectral imaging technology combined with deep learning

2019 ◽  
Vol 296 ◽  
pp. 126630 ◽  
Author(s):  
Pengcheng Nie ◽  
Jinnuo Zhang ◽  
Xuping Feng ◽  
Chenliang Yu ◽  
Yong He
Keyword(s):  
Deep Learning ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging Technology ◽  
Hybrid Seeds
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