148 related articles for article (PubMed ID: 32670316)
1. Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network.
Zhang J; Yang Y; Feng X; Xu H; Chen J; He Y
Front Plant Sci; 2020; 11():821. PubMed ID: 32670316
[TBL] [Abstract][Full Text] [Related]
2. Identification of Rice Seed Varieties Based on Near-Infrared Hyperspectral Imaging Technology Combined with Deep Learning.
Jin B; Zhang C; Jia L; Tang Q; Gao L; Zhao G; Qi H
ACS Omega; 2022 Feb; 7(6):4735-4749. PubMed ID: 35187294
[TBL] [Abstract][Full Text] [Related]
3. Non-destructive detection and classification of textile fibres based on hyperspectral imaging and 1D-CNN.
Huang J; He H; Lv R; Zhang G; Zhou Z; Wang X
Anal Chim Acta; 2022 Sep; 1224():340238. PubMed ID: 35998989
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Rice seed cultivar identification using near-infrared hyperspectral imaging and multivariate data analysis.
Kong W; Zhang C; Liu F; Nie P; He Y
Sensors (Basel); 2013 Jul; 13(7):8916-27. PubMed ID: 23857260
[TBL] [Abstract][Full Text] [Related]
6. The Rapid Non-Destructive Differentiation of Different Varieties of Rice by Fluorescence Hyperspectral Technology Combined with Machine Learning.
Kang Z; Fan R; Zhan C; Wu Y; Lin Y; Li K; Qing R; Xu L
Molecules; 2024 Feb; 29(3):. PubMed ID: 38338424
[TBL] [Abstract][Full Text] [Related]
7. Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties.
Zhu S; Zhou L; Gao P; Bao Y; He Y; Feng L
Molecules; 2019 Sep; 24(18):. PubMed ID: 31500333
[TBL] [Abstract][Full Text] [Related]
8. Rapid and accurate identification of bakanae pathogens carried by rice seeds based on hyperspectral imaging and deep transfer learning.
Wu N; Weng S; Xiao Q; Jiang H; Zhao Y; He Y
Spectrochim Acta A Mol Biomol Spectrosc; 2024 Apr; 311():123889. PubMed ID: 38340442
[TBL] [Abstract][Full Text] [Related]
9. Structural Analysis and Classification of Low-Molecular-Weight Hyaluronic Acid by Near-Infrared Spectroscopy: A Comparison between Traditional Machine Learning and Deep Learning.
Tian W; Zang L; Nie L; Li L; Zhong L; Guo X; Huang S; Zang H
Molecules; 2023 Jan; 28(2):. PubMed ID: 36677867
[TBL] [Abstract][Full Text] [Related]
10. The Classification of Rice Blast Resistant Seed Based on Ranman Spectroscopy and SVM.
He Y; Zhang W; Ma Y; Li J; Ma B
Molecules; 2022 Jun; 27(13):. PubMed ID: 35807337
[TBL] [Abstract][Full Text] [Related]
11. Establishment and comparison of
Bai Z; Du D; Zhu R; Xing F; Yang C; Yan J; Zhang Y; Kang L
Front Nutr; 2024; 11():1325934. PubMed ID: 38406188
[TBL] [Abstract][Full Text] [Related]
12. Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of
Yan T; Xu W; Lin J; Duan L; Gao P; Zhang C; Lv X
Front Plant Sci; 2021; 12():604510. PubMed ID: 33659014
[TBL] [Abstract][Full Text] [Related]
13. Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning.
Yang Y; Chen J; He Y; Liu F; Feng X; Zhang J
RSC Adv; 2020 Dec; 10(72):44149-44158. PubMed ID: 35517156
[TBL] [Abstract][Full Text] [Related]
14. Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (
Gao P; Xu W; Yan T; Zhang C; Lv X; He Y
Foods; 2019 Nov; 8(12):. PubMed ID: 31783592
[TBL] [Abstract][Full Text] [Related]
15. A Deep Learning Framework for Processing and Classification of Hyperspectral Rice Seed Images Grown under High Day and Night Temperatures.
Díaz-Martínez V; Orozco-Sandoval J; Manian V; Dhatt BK; Walia H
Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177572
[TBL] [Abstract][Full Text] [Related]
16. Cotton seed cultivar identification based on the fusion of spectral and textural features.
Liu X; Guo P; Xu Q; Du W
PLoS One; 2024; 19(5):e0303219. PubMed ID: 38805455
[TBL] [Abstract][Full Text] [Related]
17. HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds.
Gao T; Chandran AKN; Paul P; Walia H; Yu H
Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960287
[TBL] [Abstract][Full Text] [Related]
18. Detection of sweet corn seed viability based on hyperspectral imaging combined with firefly algorithm optimized deep learning.
Wang Y; Song S
Front Plant Sci; 2024; 15():1361309. PubMed ID: 38751847
[TBL] [Abstract][Full Text] [Related]
19. Detecting Asymptomatic Infections of Rice Bacterial Leaf Blight Using Hyperspectral Imaging and 3-Dimensional Convolutional Neural Network With Spectral Dilated Convolution.
Cao Y; Yuan P; Xu H; Martínez-Ortega JF; Feng J; Zhai Z
Front Plant Sci; 2022; 13():963170. PubMed ID: 35909723
[TBL] [Abstract][Full Text] [Related]
20. Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks.
Książek K; Romaszewski M; Głomb P; Grabowski B; Cholewa M
Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33233358
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
