3,500
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Quantitative determination of rice starch based on hyperspectral imaging technology

, , , &
Pages S1037-S1044 | Received 08 Jan 2017, Accepted 29 Apr 2017, Published online: 01 Aug 2017

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Xin Li & Jiangping Liu. (2023) Analysis of adulterated milk based on a long short-term memory network. Spectroscopy Letters 56:4, pages 204-210.
Read now
Bao Wang, Jianfei Sun, Lianming Xia, Junjie Liu, Zhenhe Wang, Pei Li, Yemin Guo & Xia Sun. (2023) The Applications of Hyperspectral Imaging Technology for Agricultural Products Quality Analysis: A Review. Food Reviews International 39:2, pages 1043-1062.
Read now

Articles from other publishers (17)

Xue Fei, Xinna Jiang, Yu Lei, Jianping Tian, Xinjun Hu, Youhua Bu, Dan Huang & Huibo Luo. (2023) The Rapid Non-Destructive Detection of the Protein and Fat Contents of Sorghum Based on Hyperspectral Imaging. Food Analytical Methods 16:11-12, pages 1690-1701.
Crossref
Xue Fei, Kangling He, Yuexiang Huang, Jianping Tian, Xinjun Hu, Yan Liang, Xinqiang Yi, Liangliang Xie & Dan Huang. (2023) The rapid determination of the fatty acid content of rice by combining hyperspectral imaging and integrated learning models. Vibrational Spectroscopy 129, pages 103609.
Crossref
Xiao-Yan Xu, Wei-Guang Xie, Cheng Xiang, Qian You & Xing-Guo Tian. (2023) Predicting the dietary fiber content of fresh-cut bamboo shoots using a visible and near-infrared hyperspectral technique. Journal of Food Measurement and Characterization 17:4, pages 3218-3227.
Crossref
Youhua Bu, Xinna Jiang, Jianping Tian, Xinjun Hu, Xue Fei, Dan Huang & Huibo Luo. (2022) Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology. Journal of Food Process Engineering 45:10.
Crossref
Man Li, Qiang Luo & Shuangxi Liu. (2022) Application of hyperspectral imaging technology in quality inspection of agricultural products. Application of hyperspectral imaging technology in quality inspection of agricultural products.
Coral Martinez-Nolasco, José A. Padilla-Medina, Juan J. Martinez Nolasco, Ramon Gerardo Guevara-Gonzalez, Alejandro I. Barranco-Gutiérrez & José J. Diaz-Carmona. (2022) Non-Invasive Monitoring of the Thermal and Morphometric Characteristics of Lettuce Grown in an Aeroponic System through Multispectral Image System. Applied Sciences 12:13, pages 6540.
Crossref
Adria Nirere, Jun Sun, Vincent Akolbire Atindana, Ahmad Hussain, Xin Zhou & Kunshan Yao. (2022) A comparative analysis of hybrid SVM and LS‐SVM classification algorithms to identify dried wolfberry fruits quality based on hyperspectral imaging technology. Journal of Food Processing and Preservation 46:3.
Crossref
Tianyu Tang, Yanlin Tang & Xiaonan Wei. (2021) Analysis on Spectral Matching of Biochemical Component for Rice. Journal of Physics: Conference Series 2112:1, pages 012028.
Crossref
Jun Sun, Lin Zhang, Xin Zhou, Kunshan Yao, Yan Tian & Adria Nirere. (2021) A method of information fusion for identification of rice seed varieties based on hyperspectral imaging technology. Journal of Food Process Engineering 44:9.
Crossref
Zheli Wang, Shuxiang Fan, Jingzhu Wu, Chi Zhang, Fengying Xu, Xuhai Yang & Jiangbo Li. (2021) 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 254, pages 119666.
Crossref
Adria Nirere, Jun Sun, Xin Zhou, Kunshan Yao, Ningqiu Tang & Ahmad Hussain. (2021) Identification of living and non-living watermelon seeds based on Hyperspectral Imaging Technology. Identification of living and non-living watermelon seeds based on Hyperspectral Imaging Technology.
Ningqiu Tang, Jun Sun, Kunshan Yao, Xin Zhou, Yan Tian, Yan Cao & Adria Nirere. (2020) Identification of Lycium barbarum varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling ‐ whale optimization algorithm ‐ support vector machine . Journal of Food Process Engineering 44:1.
Crossref
Zheli Wang, Xi Tian, Shuxiang Fan, Chi Zhang & Jiangbo Li. (2021) Maturity determination of single maize seed by using near-infrared hyperspectral imaging coupled with comparative analysis of multiple classification models. Infrared Physics & Technology 112, pages 103596.
Crossref
Lea Antonia Frey, Philipp Baumann, Helge Aasen, Bruno Studer & Roland Kölliker. (2020) A Non-destructive Method to Quantify Leaf Starch Content in Red Clover. Frontiers in Plant Science 11.
Crossref
Shizhuang Weng, Peipei Tang, Hecai Yuan, Bingqing Guo, Shuan Yu, Linsheng Huang & Chao Xu. (2020) Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 234, pages 118237.
Crossref
Luxiang Shen, Honghong Wang, Ying Liu, Yang Liu, Xiao Zhang & Yeqi Fei. (2020) Prediction of Soluble Solids Content in Green Plum by Using a Sparse Autoencoder. Applied Sciences 10:11, pages 3769.
Crossref
Zhehao Zhang, Xiang Yin & Chengye Ma. (2019) Development of simplified models for the nondestructive testing of rice with husk starch content using hyperspectral imaging technology. Analytical Methods 11:46, pages 5910-5918.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.