134 related articles for article (PubMed ID: 36247642)
1. Cucumber powdery mildew detection method based on hyperspectra-terahertz.
Zhang X; Wang P; Wang Y; Hu L; Luo X; Mao H; Shen B
Front Plant Sci; 2022; 13():1035731. PubMed ID: 36247642
[TBL] [Abstract][Full Text] [Related]
2. Hyperspectral Monitoring of Powdery Mildew Disease Severity in Wheat Based on Machine Learning.
Feng ZH; Wang LY; Yang ZQ; Zhang YY; Li X; Song L; He L; Duan JZ; Feng W
Front Plant Sci; 2022; 13():828454. PubMed ID: 35386677
[TBL] [Abstract][Full Text] [Related]
3. Detection Method for Tomato Leaf Mildew Based on Hyperspectral Fusion Terahertz Technology.
Zhang X; Wang Y; Zhou Z; Zhang Y; Wang X
Foods; 2023 Jan; 12(3):. PubMed ID: 36766063
[TBL] [Abstract][Full Text] [Related]
4. Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images.
Knauer U; Matros A; Petrovic T; Zanker T; Scott ES; Seiffert U
Plant Methods; 2017; 13():47. PubMed ID: 28630643
[TBL] [Abstract][Full Text] [Related]
5. Research on moldy tea feature classification based on WKNN algorithm and NIR hyperspectral imaging.
Xin Z; Jun S; Xiaohong W; Bing L; Ning Y; Chunxia D
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Jan; 206():378-383. PubMed ID: 30157445
[TBL] [Abstract][Full Text] [Related]
6. [Quantitative Identification of Yellow Rust and Powdery Mildew in Winter Wheat Based on Wavelet Feature].
Lu JJ; Huang WJ; Zhang JC; Jiang JB
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Jun; 36(6):1854-8. PubMed ID: 30052405
[TBL] [Abstract][Full Text] [Related]
7. [Identification of cucumber disease using hyperspectral imaging and discriminate analysis].
Chai AL; Liao NF; Tian LX; Shi YX; Li BJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 May; 30(5):1357-61. PubMed ID: 20672633
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network.
Lin K; Gong L; Huang Y; Liu C; Pan J
Front Plant Sci; 2019; 10():155. PubMed ID: 30891048
[TBL] [Abstract][Full Text] [Related]
9. Study on the Identification and Detection of Walnut Quality Based on Terahertz Imaging.
Hu J; Shi H; Zhan C; Qiao P; He Y; Liu Y
Foods; 2022 Nov; 11(21):. PubMed ID: 36360109
[TBL] [Abstract][Full Text] [Related]
10. [Origin identification of Gardeniae Fructus based on hyperspectral imaging technology].
Zhou C; Wang H; Yang J; Zhang XB
Zhongguo Zhong Yao Za Zhi; 2022 Nov; 47(22):6027-6033. PubMed ID: 36471926
[TBL] [Abstract][Full Text] [Related]
11. Monitoring Wheat Powdery Mildew Based on Hyperspectral, Thermal Infrared, and RGB Image Data Fusion.
Feng Z; Song L; Duan J; He L; Zhang Y; Wei Y; Feng W
Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009575
[TBL] [Abstract][Full Text] [Related]
12. Transcriptome profiling analysis reveals distinct resistance response of cucumber leaves infected with powdery mildew.
Zheng L; Zhang M; Zhuo Z; Wang Y; Gao X; Li Y; Liu W; Zhang W
Plant Biol (Stuttg); 2021 Mar; 23(2):327-340. PubMed ID: 33176053
[TBL] [Abstract][Full Text] [Related]
13. Integrating Early Growth Information to Monitor Winter Wheat Powdery Mildew Using Multi-Temporal Landsat-8 Imagery.
Ma H; Jing Y; Huang W; Shi Y; Dong Y; Zhang J; Liu L
Sensors (Basel); 2018 Sep; 18(10):. PubMed ID: 30274362
[TBL] [Abstract][Full Text] [Related]
14. Performance matching between the surface structure of cucumber powdery mildew in different growth stages and the properties of surfactant solution.
He L; Ding L; Waterhouse GIN; Li B; Liu F; Li P
Pest Manag Sci; 2021 Jul; 77(7):3538-3546. PubMed ID: 33837661
[TBL] [Abstract][Full Text] [Related]
15. Identification of Leaf-Scale Wheat Powdery Mildew (
Zhao J; Fang Y; Chu G; Yan H; Hu L; Huang L
Plants (Basel); 2020 Jul; 9(8):. PubMed ID: 32722022
[TBL] [Abstract][Full Text] [Related]
16. "H" sprayer effect on liquid deposition on cucumber leaves and powdery mildew prevention in the shed.
Qin W; Chen X; Chen P
Front Plant Sci; 2023; 14():1175939. PubMed ID: 37235023
[TBL] [Abstract][Full Text] [Related]
17. Study on terahertz spectrum analysis and recognition modeling of common agricultural diseases.
Li B; Zhang D; Shen Y
Spectrochim Acta A Mol Biomol Spectrosc; 2020 Dec; 243():118820. PubMed ID: 32829161
[TBL] [Abstract][Full Text] [Related]
18. Preliminary research on the identification system for anthracnose and powdery mildew of sandalwood leaf based on image processing.
Wu C; Wang X
PLoS One; 2017; 12(7):e0181537. PubMed ID: 28749977
[TBL] [Abstract][Full Text] [Related]
19. Distribution of Baseline Sensitivities to Natural Product Physcion Among Isolates of Sphaerotheca fuliginea and Pseudoperonospora cubensis.
Yang XJ; Yang LJ; Zeng FS; Xiang LB; Wang SN; Yu DZ; Ni H
Plant Dis; 2008 Oct; 92(10):1451-1455. PubMed ID: 30769567
[TBL] [Abstract][Full Text] [Related]
20. [Research on identification of cucumber, stem and leaf based on spectrum analysis technology].
Wang HQ; Ji CY; Chen KJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Oct; 31(10):2834-8. PubMed ID: 22250566
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
