Moisture content detection of maize seed based on visible/near‐infrared and near‐infrared hyperspectral imaging technology

Yanmin Zhang; Wenchuan Guo

doi:10.1111/ijfs.14317

Moisture content detection of maize seed based on visible/near‐infrared and near‐infrared hyperspectral imaging technology

International Journal of Food Science & Technology ◽

10.1111/ijfs.14317 ◽

2019 ◽

Vol 55 (2) ◽

pp. 631-640 ◽

Cited By ~ 5

Author(s):

Yanmin Zhang ◽

Wenchuan Guo

Keyword(s):

Moisture Content ◽

Hyperspectral Imaging ◽

Near Infrared ◽

Maize Seed ◽

Imaging Technology

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Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2021.119666 ◽

2021 ◽

Vol 254 ◽

pp. 119666

Author(s):

Zheli Wang ◽

Shuxiang Fan ◽

Jingzhu Wu ◽

Chi Zhang ◽

Fengying Xu ◽

...

Keyword(s):

Moisture Content ◽

Hyperspectral Imaging ◽

Near Infrared ◽

Maize Seed ◽

Long Wave

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Determination of Moisture Content of Single Maize Seed by Using Long-Wave Near-Infrared Hyperspectral Imaging (LWNIR) Coupled With UVE-SPA Combination Variable Selection Method

IEEE Access ◽

10.1109/access.2020.3033582 ◽

2020 ◽

Vol 8 ◽

pp. 195229-195239

Author(s):

Zheli Wang ◽

Yifei Zhang ◽

Shuxiang Fan ◽

Yinglan Jiang ◽

Jiangbo Li

Keyword(s):

Moisture Content ◽

Variable Selection ◽

Hyperspectral Imaging ◽

Near Infrared ◽

Selection Method ◽

Maize Seed ◽

Variable Selection Method ◽

Long Wave

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Determination of Basic Density and Moisture Content of Loblolly Pine Wood Disks Using a near Infrared Hyperspectral Imaging System

Journal of Near Infrared Spectroscopy ◽

10.1255/jnirs.948 ◽

2011 ◽

Vol 19 (5) ◽

pp. 401-409 ◽

Cited By ~ 26

Author(s):

Christian R. Mora ◽

Laurence R. Schimleck ◽

Seung-Chul Yoon ◽

Chi N. Thai

Keyword(s):

Moisture Content ◽

Hyperspectral Imaging ◽

Loblolly Pine ◽

Near Infrared ◽

Imaging System ◽

Basic Density ◽

Pine Wood

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Rapid discrimination of main red meat species based on near-infrared hyperspectral imaging technology

10.1117/12.2223296 ◽

2016 ◽

Author(s):

Lu Qiao ◽

Yankun Peng ◽

Kuanglin Chao ◽

Jianwei Qin

Keyword(s):

Hyperspectral Imaging ◽

Near Infrared ◽

Red Meat ◽

Imaging Technology ◽

Meat Species ◽

Rapid Discrimination

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Nondestructive rapid detection of quality parameters of chilled ham based on visible/near infrared and hyperspectral imaging technology

10.13031/aim.202100300 ◽

2021 ◽

Author(s):

Renhong Zhao ◽

Yankun Peng ◽

Qibin Zhuang ◽

Qinghui Guo ◽

Fachao Jiang

Keyword(s):

Hyperspectral Imaging ◽

Rapid Detection ◽

Near Infrared ◽

Quality Parameters ◽

Imaging Technology

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Rapid Identification of Black Toner Variety by Visible and Near Infrared Hyperspectral Imaging Technology

Chinese Journal of Luminescence ◽

10.3788/fgxb20173805.0662 ◽

2017 ◽

Vol 38 (5) ◽

pp. 662-668

Author(s):

刘猛 LIU Meng ◽

申思 SHEN Si ◽

王楠 WANG Nan

Keyword(s):

Hyperspectral Imaging ◽

Near Infrared ◽

Rapid Identification ◽

Imaging Technology

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

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2019.126630 ◽

2019 ◽

Vol 296 ◽

pp. 126630 ◽

Cited By ~ 15

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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Classification of Glycyrrhiza Seeds by Near Infrared Hyperspectral Imaging Technology

2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS) ◽

10.1109/hpbdis.2019.8735476 ◽

2019 ◽

Author(s):

Qinshan Han ◽

Ying Li ◽

Lina Yu

Keyword(s):

Hyperspectral Imaging ◽

Near Infrared ◽

Imaging Technology

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<i>Determination of Moisture Content of Peanut (Arachis hypogaea Linn.) Kernel Using Near- Infrared Hyperspectral Imaging Technique</i>

10.13031/aim.201901366 ◽

2019 ◽

Cited By ~ 1

Author(s):

Jose Domingo Guzman ◽

Jennyfer Dian Rabanera

Keyword(s):

Moisture Content ◽

Hyperspectral Imaging ◽

Arachis Hypogaea ◽

Near Infrared ◽

Imaging Technique

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Non-destructive estimation of winter wheat leaf moisture content using near-ground hyperspectral imaging technology

Acta Agriculturae Scandinavica Section B - Soil & Plant Science ◽

10.1080/09064710.2020.1726999 ◽

2020 ◽

Vol 70 (4) ◽

pp. 294-306

Author(s):

Zhen Zhu ◽

Tiansheng Li ◽

Jing Cui ◽

Xiaoyan Shi ◽

Jianhua Chen ◽

...

Keyword(s):

Moisture Content ◽

Winter Wheat ◽

Hyperspectral Imaging ◽

Imaging Technology ◽

Wheat Leaf ◽

Non Destructive

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