Seuraa
Fan Shuxiang
Fan Shuxiang
Beijing Research Center of Intelligent Equipment for Agriculture
Vahvistettu sähköpostiosoite verkkotunnuksessa nercita.org.cn
Nimike
Viittaukset
Viittaukset
Vuosi
Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review
B Zhang, W Huang, J Li, C Zhao, S Fan, J Wu, C Liu
Food Research International 62, 326-343, 2014
5762014
On line detection of defective apples using computer vision system combined with deep learning methods
S Fan, J Li, Y Zhang, X Tian, Q Wang, X He, C Zhang, W Huang
Journal of Food Engineering 286, 110102, 2020
2932020
Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging
J Li, W Huang, X Tian, C Wang, S Fan, C Zhao
Computers and Electronics in Agriculture 127, 582-592, 2016
1742016
Effect of spectrum measurement position variation on the robustness of NIR spectroscopy models for soluble solids content of apple
S Fan, B Zhang, J Li, W Huang, C Wang
Biosystems Engineering 143, 9-19, 2016
1572016
Recent advances in emerging techniques for non-destructive detection of seed viability: A review
Y Xia, Y Xu, J Li, C Zhang, S Fan
Artificial Intelligence in Agriculture 1, 35-47, 2019
1502019
Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method
S Fan, J Li, Y Xia, X Tian, Z Guo, W Huang
Postharvest Biology and Technology 151, 79-87, 2019
1402019
Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network
S Fan, X Liang, W Huang, VJ Zhang, Q Pang, X He, L Li, C Zhang
Computers and Electronics in Agriculture 193, 106715, 2022
1372022
Nondestructive measurement of soluble solids content in apple using near infrared hyperspectral imaging coupled with wavelength selection algorithm
D Zhang, Y Xu, W Huang, X Tian, Y Xia, L Xu, S Fan
Infrared Physics & Technology 98, 297-304, 2019
1352019
Prediction of soluble solids content and firmness of pears using hyperspectral reflectance imaging
S Fan, W Huang, Z Guo, B Zhang, C Zhao
Food analytical methods 8, 1936-1946, 2015
1312015
Multispectral detection of skin defects of bi-colored peaches based on vis–NIR hyperspectral imaging
J Li, L Chen, W Huang, Q Wang, B Zhang, X Tian, S Fan, B Li
Postharvest Biology and Technology 112, 121-133, 2016
1172016
Early detection of decay on apples using hyperspectral reflectance imaging combining both principal component analysis and improved watershed segmentation method
J Li, W Luo, Z Wang, S Fan
Postharvest Biology and Technology 149, 235-246, 2019
1162019
Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths
S Fan, C Li, W Huang, L Chen
Postharvest Biology and Technology 134, 55-66, 2017
1072017
Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data
S Fan, B Zhang, J Li, C Liu, W Huang, X Tian
Postharvest Biology and Technology 121, 51-61, 2016
982016
Hyperspectral imaging combined with multivariate analysis and band math for detection of common defects on peaches (Prunus persica)
B Zhang, J Li, S Fan, W Huang, C Zhao, C Liu, D Huang
Computers and Electronics in Agriculture 114, 14-24, 2015
952015
Variable selection in visible and near-infrared spectral analysis for noninvasive determination of soluble solids content of ‘Ya’pear
J Li, W Huang, L Chen, S Fan, B Zhang, Z Guo, C Zhao
Food Analytical Methods 7, 1891-1902, 2014
872014
Application of long-wave near infrared hyperspectral imaging for measurement of soluble solid content (SSC) in pear
J Li, X Tian, W Huang, B Zhang, S Fan
Food Analytical Methods 9 (11), 3087-3098, 2016
762016
A bi-layer model for nondestructive prediction of soluble solids content in apple based on reflectance spectra and peel pigments
X Tian, J Li, Q Wang, S Fan, W Huang
Food chemistry 239, 1055-1063, 2018
742018
Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed
Z Wang, S Fan, J Wu, C Zhang, F Xu, X Yang, J Li
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 254, 119666, 2021
732021
Non-destructive evaluation of soluble solids content of apples using a developed portable Vis/NIR device
S Fan, Q Wang, X Tian, G Yang, Y Xia, J Li, W Huang
Biosystems Engineering 193, 138-148, 2020
712020
Detection of early rottenness on apples by using hyperspectral imaging combined with spectral analysis and image processing
B Zhang, S Fan, J Li, W Huang, C Zhao, M Qian, L Zheng
Food Analytical Methods 8, 2075-2086, 2015
712015
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Artikkelit 1–20