BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 36297713)

  • 1. UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies.
    Nielsen KME; Duddu HSN; Bett KE; Shirtliffe SJ
    Plants (Basel); 2022 Oct; 11(20):. PubMed ID: 36297713
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (
    Selvaraj MG; Valderrama M; Guzman D; Valencia M; Ruiz H; Acharjee A
    Plant Methods; 2020; 16():87. PubMed ID: 32549903
    [TBL] [Abstract][Full Text] [Related]  

  • 3. High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation.
    Volpato L; Pinto F; González-Pérez L; Thompson IG; Borém A; Reynolds M; Gérard B; Molero G; Rodrigues FA
    Front Plant Sci; 2021; 12():591587. PubMed ID: 33664755
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. High-Throughput Phenotyping of Bioethanol Potential in Cereals Using UAV-Based Multi-Spectral Imagery.
    Ostos-Garrido FJ; de Castro AI; Torres-Sánchez J; Pistón F; Peña JM
    Front Plant Sci; 2019; 10():948. PubMed ID: 31396251
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley.
    Rueda-Ayala VP; Peña JM; Höglind M; Bengochea-Guevara JM; Andújar D
    Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30696014
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data.
    Ranđelović P; Đorđević V; Miladinović J; Prodanović S; Ćeran M; Vollmann J
    Plant Methods; 2023 Aug; 19(1):89. PubMed ID: 37633921
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives.
    Yang G; Liu J; Zhao C; Li Z; Huang Y; Yu H; Xu B; Yang X; Zhu D; Zhang X; Zhang R; Feng H; Zhao X; Li Z; Li H; Yang H
    Front Plant Sci; 2017; 8():1111. PubMed ID: 28713402
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Haplotype analysis from unmanned aerial vehicle imagery of rice MAGIC population for the trait dissection of biomass and plant architecture.
    Ogawa D; Sakamoto T; Tsunematsu H; Kanno N; Nonoue Y; Yonemaru JI
    J Exp Bot; 2021 Mar; 72(7):2371-2382. PubMed ID: 33367626
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. High-Throughput Switchgrass Phenotyping and Biomass Modeling by UAV.
    Li F; Piasecki C; Millwood RJ; Wolfe B; Mazarei M; Stewart CN
    Front Plant Sci; 2020; 11():574073. PubMed ID: 33193511
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning.
    Tian F; Vieira CC; Zhou J; Zhou J; Chen P
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991952
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating yield-contributing physiological parameters of cotton using UAV-based imagery.
    Pokhrel A; Virk S; Snider JL; Vellidis G; Hand LC; Sintim HY; Parkash V; Chalise DP; Lee JM; Byers C
    Front Plant Sci; 2023; 14():1248152. PubMed ID: 37794937
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques.
    de Castro AI; Rallo P; Suárez MP; Torres-Sánchez J; Casanova L; Jiménez-Brenes FM; Morales-Sillero A; Jiménez MR; López-Granados F
    Front Plant Sci; 2019; 10():1472. PubMed ID: 31803210
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery.
    Li J; Veeranampalayam-Sivakumar AN; Bhatta M; Garst ND; Stoll H; Stephen Baenziger P; Belamkar V; Howard R; Ge Y; Shi Y
    Plant Methods; 2019; 15():123. PubMed ID: 31695728
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models.
    Yang K; Mo J; Luo S; Peng Y; Fang S; Wu X; Zhu R; Li Y; Yuan N; Zhou C; Gong Y
    Plant Phenomics; 2023; 5():0056. PubMed ID: 37273463
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.