122 related articles for article (PubMed ID: 26672281)
1. [Purity Detection Model Update of Maize Seeds Based on Active Learning].
Tang JY; Huang M; Zhu QB
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Aug; 35(8):2136-40. PubMed ID: 26672281
[TBL] [Abstract][Full Text] [Related]
2. Nondestructive Classification of Maize Moldy Seeds by Hyperspectral Imaging and Optimal Machine Learning Algorithms.
Hu Y; Wang Z; Li X; Li L; Wang X; Wei Y
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015825
[TBL] [Abstract][Full Text] [Related]
3. [Maize seed identification using hyperspectral imaging and SVDD algorithm].
Zhu QB; Feng ZL; Huang M; Zhu X
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Feb; 33(2):517-21. PubMed ID: 23697145
[TBL] [Abstract][Full Text] [Related]
4. [Rapid and nondestructive discrimination of hybrid maize seed purity using near infrared spectroscopy].
Huang YY; Zhu LW; Li JH; Wang JH; Sun BQ; Sun Q
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Mar; 31(3):661-4. PubMed ID: 21595213
[TBL] [Abstract][Full Text] [Related]
5. Variety classification of coated maize seeds based on Raman hyperspectral imaging.
Liu Q; Wang Z; Long Y; Zhang C; Fan S; Huang W
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Apr; 270():120772. PubMed ID: 34973616
[TBL] [Abstract][Full Text] [Related]
6. [Variety recognition of Chinese cabbage seeds by hyperspectral imaging combined with machine learning].
Cheng SX; Kong WW; Zhang C; Liu F; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Sep; 34(9):2519-22. PubMed ID: 25532356
[TBL] [Abstract][Full Text] [Related]
7. [Study on method of maize hybrid purity identification based on hyperspectral image technology].
Jia SQ; Liu Z; Li SM; Li L; Ma Q; Zhang XD; Zhu DH; Yan YL; An D
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Oct; 33(10):2847-52. PubMed ID: 24409748
[TBL] [Abstract][Full Text] [Related]
8. [Study on Visual Identification of Corn Seeds Based on Hyperspectral Imaging Technology].
Wu X; Zhang WZ; Lu JF; Qiu ZJ; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Feb; 36(2):511-4. PubMed ID: 27209759
[TBL] [Abstract][Full Text] [Related]
9. Recognition of maize seed varieties based on hyperspectral imaging technology and integrated learning algorithms.
Yang H; Wang C; Zhang H; Zhou Y; Luo B
PeerJ Comput Sci; 2023; 9():e1354. PubMed ID: 37346683
[TBL] [Abstract][Full Text] [Related]
10. Rapid and visual detection of the main chemical compositions in maize seeds based on Raman hyperspectral imaging.
Yang G; Wang Q; Liu C; Wang X; Fan S; Huang W
Spectrochim Acta A Mol Biomol Spectrosc; 2018 Jul; 200():186-194. PubMed ID: 29680497
[TBL] [Abstract][Full Text] [Related]
11. Application of Joint Skewness Algorithm to Select Optimal Wavelengths of Hyperspectral Image for Maize Seed Classification YANG Sai, ZHU Qi-bing*, HUANG Min.
Yang S; Zhu QB; Huang M
Guang Pu Xue Yu Guang Pu Fen Xi; 2017 Mar; 37(3):990-6. PubMed ID: 30160845
[TBL] [Abstract][Full Text] [Related]
12. Identification of the variety of maize seeds based on hyperspectral images coupled with convolutional neural networks and subregional voting.
Zhou Q; Huang W; Tian X; Yang Y; Liang D
J Sci Food Agric; 2021 Aug; 101(11):4532-4542. PubMed ID: 33452811
[TBL] [Abstract][Full Text] [Related]
13. [Simultaneous Detection of External and Internal Quality Parameters of Huping Jujube Fruits using Hyperspectral Imaging Technology].
Xue JX; Zhang SJ; Zhang JJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Aug; 35(8):2297-302. PubMed ID: 26672312
[TBL] [Abstract][Full Text] [Related]
14. Identification of Defective Maize Seeds Using Hyperspectral Imaging Combined with Deep Learning.
Xu P; Sun W; Xu K; Zhang Y; Tan Q; Qing Y; Yang R
Foods; 2022 Dec; 12(1):. PubMed ID: 36613360
[TBL] [Abstract][Full Text] [Related]
15. Rapid and Non-Destructive Prediction of Moisture Content in Maize Seeds Using Hyperspectral Imaging.
Xue H; Xu X; Yang Y; Hu D; Niu G
Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544118
[TBL] [Abstract][Full Text] [Related]
16. Detection of seed purity of hybrid wheat using reflectance and transmittance hyperspectral imaging technology.
Zhang H; Hou Q; Luo B; Tu K; Zhao C; Sun Q
Front Plant Sci; 2022; 13():1015891. PubMed ID: 36247557
[TBL] [Abstract][Full Text] [Related]
17. [Near infrared spectroscopy analysis method of maize hybrid seed purity discrimination].
Huang HJ; Yan YL; Shen BH; Liu Z; Gu JC; Li SM; Zhu DH; Zhang XD; Ma Q; Li L; An D
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 May; 34(5):1253-8. PubMed ID: 25095417
[TBL] [Abstract][Full Text] [Related]
18. Nondestructive Classification of Soybean Seed Varieties by Hyperspectral Imaging and Ensemble Machine Learning Algorithms.
Wei Y; Li X; Pan X; Li L
Sensors (Basel); 2020 Dec; 20(23):. PubMed ID: 33297289
[TBL] [Abstract][Full Text] [Related]
19. Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models.
Wu Q; Xu L; Zou Z; Wang J; Zeng Q; Wang Q; Zhen J; Wang Y; Zhao Y; Zhou M
Front Plant Sci; 2022; 13():1047479. PubMed ID: 36438117
[TBL] [Abstract][Full Text] [Related]
20. Application of hyperspectral imaging and chemometrics for variety classification of maize seeds.
Zhao Y; Zhu S; Zhang C; Feng X; Feng L; He Y
RSC Adv; 2018 Jan; 8(3):1337-1345. PubMed ID: 35540920
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]