BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 36388531)

  • 1. Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images.
    Wang F; Yi Q; Xie L; Yao X; Zheng J; Xu T; Li J; Chen S
    Front Plant Sci; 2022; 13():1035379. PubMed ID: 36388531
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery.
    Wang F; Wang F; Zhang Y; Hu J; Huang J; Xie J
    Front Plant Sci; 2019; 10():453. PubMed ID: 31024607
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice.
    Zheng H; Cheng T; Li D; Yao X; Tian Y; Cao W; Zhu Y
    Front Plant Sci; 2018; 9():936. PubMed ID: 30034405
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Non-destructive monitoring of maize LAI by fusing UAV spectral and textural features.
    Sun X; Yang Z; Su P; Wei K; Wang Z; Yang C; Wang C; Qin M; Xiao L; Yang W; Zhang M; Song X; Feng M
    Front Plant Sci; 2023; 14():1158837. PubMed ID: 37063231
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning.
    Dhakal R; Maimaitijiang M; Chang J; Caffe M
    Sensors (Basel); 2023 Dec; 23(24):. PubMed ID: 38139554
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimating the rice nitrogen nutrition index based on hyperspectral transform technology.
    Yu F; Bai J; Jin Z; Zhang H; Yang J; Xu T
    Front Plant Sci; 2023; 14():1118098. PubMed ID: 37035061
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Remote Estimation of Rice Yield With Unmanned Aerial Vehicle (UAV) Data and Spectral Mixture Analysis.
    Duan B; Fang S; Zhu R; Wu X; Wang S; Gong Y; Peng Y
    Front Plant Sci; 2019; 10():204. PubMed ID: 30873194
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods.
    Zhang J; Cheng T; Guo W; Xu X; Qiao H; Xie Y; Ma X
    Plant Methods; 2021 May; 17(1):49. PubMed ID: 33941211
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras.
    Cen H; Wan L; Zhu J; Li Y; Li X; Zhu Y; Weng H; Wu W; Yin W; Xu C; Bao Y; Feng L; Shou J; He Y
    Plant Methods; 2019; 15():32. PubMed ID: 30972143
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images.
    Li W; Zhu X; Yu X; Li M; Tang X; Zhang J; Xue Y; Zhang C; Jiang Y
    Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591193
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing.
    Cao Y; Jiang K; Wu J; Yu F; Du W; Xu T
    PLoS One; 2020; 15(9):e0238530. PubMed ID: 32915830
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Research on fertilization decision method for rice tillering stage based on the coupling of UAV hyperspectral remote sensing and WOFOST.
    Li S; Jin Z; Bai J; Xiang S; Xu C; Yu F
    Front Plant Sci; 2024; 15():1405239. PubMed ID: 38911973
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Retrieving rice (
    Wu T; Zhang W; Wu S; Cheng M; Qi L; Shao G; Jiao X
    Front Plant Sci; 2022; 13():1088499. PubMed ID: 36762179
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimation of Rice Aboveground Biomass by Combining Canopy Spectral Reflectance and Unmanned Aerial Vehicle-Based Red Green Blue Imagery Data.
    Wang Z; Ma Y; Chen P; Yang Y; Fu H; Yang F; Raza MA; Guo C; Shu C; Sun Y; Yang Z; Chen Z; Ma J
    Front Plant Sci; 2022; 13():903643. PubMed ID: 35712565
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring.
    Ge X; Wang J; Ding J; Cao X; Zhang Z; Liu J; Li X
    PeerJ; 2019; 7():e6926. PubMed ID: 31110930
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimation of Dynamic Canopy Variables Using Hyperspectral Derived Vegetation Indices Under Varying N Rates at Diverse Phenological Stages of Rice.
    Din M; Ming J; Hussain S; Ata-Ul-Karim ST; Rashid M; Tahir MN; Hua S; Wang S
    Front Plant Sci; 2018; 9():1883. PubMed ID: 30697219
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using Unmanned Aerial Vehicle-Based Multispectral Image Data to Monitor the Growth of Intercropping Crops in Tea Plantation.
    Shi Y; Gao Y; Wang Y; Luo D; Chen S; Ding Z; Fan K
    Front Plant Sci; 2022; 13():820585. PubMed ID: 35283919
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mapping soil available copper content in the mine tailings pond with combined simulated annealing deep neural network and UAV hyperspectral images.
    Zhang Y; Wei L; Lu Q; Zhong Y; Yuan Z; Wang Z; Li Z; Yang Y
    Environ Pollut; 2023 Mar; 320():120962. PubMed ID: 36621716
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].
    Gao L; Li CC; Wang BS; Yang Gui-jun ; Wang L; Fu K
    Ying Yong Sheng Tai Xue Bao; 2016 Jan; 27(1):191-200. PubMed ID: 27228609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index.
    Zhou C; Gong Y; Fang S; Yang K; Peng Y; Wu X; Zhu R
    Front Plant Sci; 2022; 13():957870. PubMed ID: 35991436
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.