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Works (12)

Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality

Critical Reviews in Food Science and Nutrition
2023-11-17 | Journal article
Contributors: Dong An; Liu Zhang; Zhe Liu; Jincun Liu; Yaoguang Wei
Source: check_circle
Crossref

Hyperspectral imaging combined with generative adversarial network (GAN)-based data augmentation to identify haploid maize kernels

Journal of Food Composition and Analysis
2022 | Journal article
EID:

2-s2.0-85121468083

Part of ISSN: 08891575
Contributors: Zhang, L.; Nie, Q.; Ji, H.; Wang, Y.; Wei, Y.; An, D.
Source: Self-asserted source
Liu Zhang via Scopus - Elsevier

Near-infrared hyperspectral imaging technology combined with deep convolutional generative adversarial network to predict oil content of single maize kernel

Food Chemistry
2022 | Journal article
EID:

2-s2.0-85116515050

Part of ISSN: 18737072 03088146
Contributors: Zhang, L.; Wang, Y.; Wei, Y.; An, D.
Source: Self-asserted source
Liu Zhang via Scopus - Elsevier

Vis-NIR hyperspectral imaging combined with incremental learning for open world maize seed varieties identification

Computers and Electronics in Agriculture
2022-08 | Journal article
Part of ISSN: 0168-1699
Source: Self-asserted source
Liu Zhang

Applying multimodal data fusion based on manifold learning with nuclear magnetic resonance (NMR) and near infrared spectroscopy (NIRS) to maize haploid identification

Biosystems Engineering
2021 | Journal article
EID:

2-s2.0-85114761022

Part of ISSN: 15375110
Contributors: Ge, W.; Zhang, L.; Li, X.; Zhang, C.; Sun, M.; An, D.; Wu, J.
Source: Self-asserted source
Liu Zhang via Scopus - Elsevier

Identification of soybean varieties based on hyperspectral imaging technology and one-dimensional convolutional neural network

Journal of Food Process Engineering
2021 | Journal article
EID:

2-s2.0-85107536321

Part of ISSN: 17454530 01458876
Contributors: Li, H.; Zhang, L.; Sun, H.; Rao, Z.; Ji, H.
Source: Self-asserted source
Liu Zhang via Scopus - Elsevier

Non-destructive identification of slightly sprouted wheat kernels using hyperspectral data on both sides of wheat kernels

Biosystems Engineering
2020 | Journal article
EID:

2-s2.0-85094201933

Part of ISSN: 15375110
Contributors: Zhang, L.; Sun, H.; Rao, Z.; Ji, H.
Source: Self-asserted source
Liu Zhang via Scopus - Elsevier

Determination of moisture content in barley seeds based on hyperspectral imaging technology

Spectroscopy Letters
2020-11-25 | Journal article
Contributors: Heng Sun; Liu Zhang; Zhenhong Rao; Haiyan Ji
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Crossref
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Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
2020-03 | Journal article
Contributors: Liu Zhang; Heng Sun; Zhenhong Rao; Haiyan Ji
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Crossref
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Hyperspectral imaging technology combined with multivariate data analysis to identify heat-damaged rice seeds

Spectroscopy Letters
2020-03-15 | Journal article
Contributors: Liu Zhang; Zhenhong Rao; Haiyan Ji
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NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface

Sensors
2019-07-17 | Journal article
Contributors: Liu Zhang; Zhenhong Rao; Haiyan Ji
Source: check_circle
Crossref

Identification of wheat grain in different states based on hyperspectral imaging technology

Spectroscopy Letters
2019-07-03 | Journal article
Contributors: Liu Zhang; Haiyan Ji
Source: check_circle
Crossref
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Preferred source (of 3)‎