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Journal Abstract Search

208 related items for PubMed ID: 35246179

  • 1. Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.).
    Ji Y, Chen Z, Cheng Q, Liu R, Li M, Yan X, Li G, Wang D, Fu L, Ma Y, Jin X, Zong X, Yang T.
    Plant Methods; 2022 Mar 05; 18(1):26. PubMed ID: 35246179
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  • 2. Faba bean and pea harvest index estimations using aerial-based multimodal data and machine learning algorithms.
    Ji Y, Liu Z, Cui Y, Liu R, Chen Z, Zong X, Yang T.
    Plant Physiol; 2024 Feb 29; 194(3):1512-1526. PubMed ID: 37935623
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  • 3. 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 Feb 29; 13():820585. PubMed ID: 35283919
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  • 4. Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning.
    Sharma P, Leigh L, Chang J, Maimaitijiang M, Caffé M.
    Sensors (Basel); 2022 Jan 13; 22(2):. PubMed ID: 35062559
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  • 9. Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system.
    Lu N, Zhou J, Han Z, Li D, Cao Q, Yao X, Tian Y, Zhu Y, Cao W, Cheng T.
    Plant Methods; 2019 Jan 13; 15():17. PubMed ID: 30828356
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  • 10. 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 Jan 13; 12():591587. PubMed ID: 33664755
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  • 17. Precision estimation of winter wheat crop height and above-ground biomass using unmanned aerial vehicle imagery and oblique photoghraphy point cloud data.
    Li Y, Li C, Cheng Q, Chen L, Li Z, Zhai W, Mao B, Chen Z.
    Front Plant Sci; 2024 Jan 13; 15():1437350. PubMed ID: 39359624
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