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Pubmed for Handhelds

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Journal Abstract Search

288 related items for PubMed ID: 36035659

  • 21. Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops.
    Hu P, Chapman SC, Zheng B.
    Funct Plant Biol; 2021 Jul; 48(8):766-779. PubMed ID: 33663681
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  • 22. Integrated Satellite, Unmanned Aerial Vehicle (UAV) and Ground Inversion of the SPAD of Winter Wheat in the Reviving Stage.
    Zhang S, Zhao G, Lang K, Su B, Chen X, Xi X, Zhang H.
    Sensors (Basel); 2019 Mar 27; 19(7):. PubMed ID: 30934683
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  • 23. 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 Mar 27; 15():1437350. PubMed ID: 39359624
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  • 31. Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials.
    Zhang J, Virk S, Porter W, Kenworthy K, Sullivan D, Schwartz B.
    Front Plant Sci; 2019 Mar 27; 10():279. PubMed ID: 30930917
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  • 33. Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries.
    Haghighattalab A, González Pérez L, Mondal S, Singh D, Schinstock D, Rutkoski J, Ortiz-Monasterio I, Singh RP, Goodin D, Poland J.
    Plant Methods; 2016 Mar 27; 12():35. PubMed ID: 27347001
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  • 35. Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery.
    Liang T, Duan B, Luo X, Ma Y, Yuan Z, Zhu R, Peng Y, Gong Y, Fang S, Wu X.
    Front Plant Sci; 2021 Mar 27; 12():740414. PubMed ID: 34925396
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  • 37. Multifunctional Ground Control Points with a Wireless Network for Communication with a UAV.
    Han X, Thomasson JA, Xiang Y, Gharakhani H, Yadav PK, Rooney WL.
    Sensors (Basel); 2019 Jun 27; 19(13):. PubMed ID: 31252556
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  • 39. Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management.
    Yang CY, Yang MD, Tseng WC, Hsu YC, Li GS, Lai MH, Wu DH, Lu HY.
    Sensors (Basel); 2020 Sep 18; 20(18):. PubMed ID: 32962121
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  • 40. Identification and Comprehensive Evaluation of Resistant Weeds Using Unmanned Aerial Vehicle-Based Multispectral Imagery.
    Xia F, Quan L, Lou Z, Sun D, Li H, Lv X.
    Front Plant Sci; 2022 Sep 18; 13():938604. PubMed ID: 35937335
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