BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 34737338)

  • 1. Aerial high-throughput phenotyping of peanut leaf area index and lateral growth.
    Sarkar S; Cazenave AB; Oakes J; McCall D; Thomason W; Abbott L; Balota M
    Sci Rep; 2021 Nov; 11(1):21661. PubMed ID: 34737338
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimation of Peanut Leaf Area Index from Unmanned Aerial Vehicle Multispectral Images.
    Qi H; Zhu B; Wu Z; Liang Y; Li J; Wang L; Chen T; Lan Y; Zhang L
    Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33255612
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season.
    Gong Y; Yang K; Lin Z; Fang S; Wu X; Zhu R; Peng Y
    Plant Methods; 2021 Aug; 17(1):88. PubMed ID: 34376195
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines.
    Potgieter AB; George-Jaeggli B; Chapman SC; Laws K; Suárez Cadavid LA; Wixted J; Watson J; Eldridge M; Jordan DR; Hammer GL
    Front Plant Sci; 2017; 8():1532. PubMed ID: 28951735
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms.
    Liu S; Jin X; Nie C; Wang S; Yu X; Cheng M; Shao M; Wang Z; Tuohuti N; Bai Y; Liu Y
    Plant Physiol; 2021 Nov; 187(3):1551-1576. PubMed ID: 34618054
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits.
    Shu M; Fei S; Zhang B; Yang X; Guo Y; Li B; Ma Y
    Plant Phenomics; 2022; 2022():9802585. PubMed ID: 36158531
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models.
    Sarkar S; Ramsey AF; Cazenave AB; Balota M
    Front Plant Sci; 2021; 12():658621. PubMed ID: 34220885
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimation of maize plant height and leaf area index dynamics using an unmanned aerial vehicle with oblique and nadir photography.
    Che Y; Wang Q; Xie Z; Zhou L; Li S; Hui F; Wang X; Li B; Ma Y
    Ann Bot; 2020 Sep; 126(4):765-773. PubMed ID: 32432702
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages.
    Yue J; Feng H; Tian Q; Zhou C
    Plant Methods; 2020; 16():104. PubMed ID: 32765637
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography.
    Wu J; Wen S; Lan Y; Yin X; Zhang J; Ge Y
    Plant Methods; 2022 Dec; 18(1):129. PubMed ID: 36482426
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of
    Din M; Zheng W; Rashid M; Wang S; Shi Z
    Front Plant Sci; 2017; 8():820. PubMed ID: 28588596
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Growth Monitoring and Yield Estimation of Maize Plant Using Unmanned Aerial Vehicle (UAV) in a Hilly Region.
    Sapkota S; Paudyal DR
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420599
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating Snow Depth and Leaf Area Index Based on UAV Digital Photogrammetry.
    Lendzioch T; Langhammer J; Jenicek M
    Sensors (Basel); 2019 Feb; 19(5):. PubMed ID: 30823427
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery.
    Wu S; Deng L; Guo L; Wu Y
    Plant Methods; 2022 May; 18(1):68. PubMed ID: 35590377
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques.
    Buchaillot ML; Gracia-Romero A; Vergara-Diaz O; Zaman-Allah MA; Tarekegne A; Cairns JE; Prasanna BM; Araus JL; Kefauver SC
    Sensors (Basel); 2019 Apr; 19(8):. PubMed ID: 30995754
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data.
    Tao H; Feng H; Xu L; Miao M; Long H; Yue J; Li Z; Yang G; Yang X; Fan L
    Sensors (Basel); 2020 Feb; 20(5):. PubMed ID: 32120958
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform.
    Hassan MA; Yang M; Rasheed A; Yang G; Reynolds M; Xia X; Xiao Y; He Z
    Plant Sci; 2019 May; 282():95-103. PubMed ID: 31003615
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.