Zhang C - Search Results

1

Identification of geographical origins of Radix Paeoniae Alba using hyperspectral imaging with deep learning-based fusion approaches.

Cai Z, Huang Z, He M, Li C, Qi H, Peng J, Zhou F, Zhang C. Cai Z, et al. Among authors: zhang c. Food Chem. 2023 Oct 1;422:136169. doi: 10.1016/j.foodchem.2023.136169. Epub 2023 Apr 19. Food Chem. 2023. PMID: 37119596

2

Fast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System.

Fan Y, Wang T, Qiu Z, Peng J, Zhang C, He Y. Fan Y, et al. Among authors: zhang c. Sensors (Basel). 2017 Oct 27;17(11):2470. doi: 10.3390/s17112470. Sensors (Basel). 2017. PMID: 29077040 Free PMC article.

3

Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis.

Liu F, Ye L, Peng J, Song K, Shen T, Zhang C, He Y. Liu F, et al. Among authors: zhang c. Sensors (Basel). 2018 Feb 27;18(3):705. doi: 10.3390/s18030705. Sensors (Basel). 2018. PMID: 29495445 Free PMC article.

4

Quantitative Analysis of Cadmium in Tobacco Roots Using Laser-Induced Breakdown Spectroscopy With Variable Index and Chemometrics.

Liu F, Shen T, Kong W, Peng J, Zhang C, Song K, Wang W, Zhang C, He Y. Liu F, et al. Among authors: zhang c. Front Plant Sci. 2018 Sep 13;9:1316. doi: 10.3389/fpls.2018.01316. eCollection 2018. Front Plant Sci. 2018. PMID: 30271417 Free PMC article.

5

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

Zhang C, Wu W, Zhou L, Cheng H, Ye X, He Y. Zhang C, et al. Food Chem. 2020 Jul 30;319:126536. doi: 10.1016/j.foodchem.2020.126536. Epub 2020 Mar 1. Food Chem. 2020. PMID: 32146292

6

Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins.

Feng L, Wu B, Zhu S, He Y, Zhang C. Feng L, et al. Among authors: zhang c. Front Nutr. 2021 Jun 17;8:680357. doi: 10.3389/fnut.2021.680357. eCollection 2021. Front Nutr. 2021. PMID: 34222304 Free PMC article. Review.

7

Hyperspectral Imaging Combined With Deep Transfer Learning for Rice Disease Detection.

Feng L, Wu B, He Y, Zhang C. Feng L, et al. Among authors: zhang c. Front Plant Sci. 2021 Sep 29;12:693521. doi: 10.3389/fpls.2021.693521. eCollection 2021. Front Plant Sci. 2021. PMID: 34659278 Free PMC article.

8

Hyperspectral Imaging with Machine Learning Approaches for Assessing Soluble Solids Content of Tribute Citru.

Li C, He M, Cai Z, Qi H, Zhang J, Zhang C. Li C, et al. Among authors: zhang c, zhang j. Foods. 2023 Jan 5;12(2):247. doi: 10.3390/foods12020247. Foods. 2023. PMID: 36673336 Free PMC article.

9

Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy.

Chen R, Liu F, Zhang C, Wang W, Yang R, Zhao Y, Peng J, Kong W, Huang J. Chen R, et al. Among authors: zhang c. Front Plant Sci. 2023 Mar 21;14:1128300. doi: 10.3389/fpls.2023.1128300. eCollection 2023. Front Plant Sci. 2023. PMID: 37025139 Free PMC article. Review.

10

Rice seed vigor detection based on near-infrared hyperspectral imaging and deep transfer learning.

Qi H, Huang Z, Sun Z, Tang Q, Zhao G, Zhu X, Zhang C. Qi H, et al. Among authors: zhang c. Front Plant Sci. 2023 Oct 23;14:1283921. doi: 10.3389/fpls.2023.1283921. eCollection 2023. Front Plant Sci. 2023. PMID: 37936942 Free PMC article.

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