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Journal Abstract Search

275 related items for PubMed ID: 32102358

  • 1. Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images.
    Tao H, Feng H, Xu L, Miao M, Yang G, Yang X, Fan L.
    Sensors (Basel); 2020 Feb 24; 20(4):. PubMed ID: 32102358
    [Abstract] [Full Text] [Related]

  • 2. Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
    Sun C, Feng L, Zhang Z, Ma Y, Crosby T, Naber M, Wang Y.
    Sensors (Basel); 2020 Sep 16; 20(18):. PubMed ID: 32947919
    [Abstract] [Full Text] [Related]

  • 3. Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage.
    Zou M, Liu Y, Fu M, Li C, Zhou Z, Meng H, Xing E, Ren Y.
    Front Plant Sci; 2023 Sep 16; 14():1272049. PubMed ID: 38235191
    [Abstract] [Full Text] [Related]

  • 4. Plant phenomics & precision agriculture simulation of winter wheat growth by the assimilation of unmanned aerial vehicle imagery into the WOFOST model.
    Yang T, Zhang W, Zhou T, Wu W, Liu T, Sun C.
    PLoS One; 2021 Sep 16; 16(10):e0246874. PubMed ID: 34624043
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. UAV-based hyperspectral analysis and spectral indices constructing for quantitatively monitoring leaf nitrogen content of winter wheat.
    Zhu H, Liu H, Xu Y, Guijun Y.
    Appl Opt; 2018 Sep 20; 57(27):7722-7732. PubMed ID: 30462034
    [Abstract] [Full Text] [Related]

  • 7. 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 03; 17(1):49. PubMed ID: 33941211
    [Abstract] [Full Text] [Related]

  • 8. Hyperspectral prediction of leaf area index of winter wheat in irrigated and rainfed fields.
    Li G, Wang C, Feng M, Yang W, Li F, Feng R.
    PLoS One; 2017 May 03; 12(8):e0183338. PubMed ID: 28817658
    [Abstract] [Full Text] [Related]

  • 9. [Band depth analysis and partial least square regression based winter wheat biomass estimation using hyperspectral measurements].
    Fu YY, Wang JH, Yang GJ, Song XY, Xu XG, Feng HK.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2013 May 03; 33(5):1315-9. PubMed ID: 23905343
    [Abstract] [Full Text] [Related]

  • 10. Comparing methods for estimating leaf area index by multi-angular remote sensing in winter wheat.
    He L, Ren X, Wang Y, Liu B, Zhang H, Liu W, Feng W, Guo T.
    Sci Rep; 2020 Aug 18; 10(1):13943. PubMed ID: 32811882
    [Abstract] [Full Text] [Related]

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  • 12. [Development of citrus yield prediction model based on airborne hyperspectral imaging].
    Ye XJ, Kenshi S, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 May 18; 30(5):1295-300. PubMed ID: 20672621
    [Abstract] [Full Text] [Related]

  • 13. Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis.
    El-Hendawy S, Al-Suhaibani N, Alotaibi M, Hassan W, Elsayed S, Tahir MU, Mohamed AI, Schmidhalter U.
    Sci Rep; 2019 Nov 11; 9(1):16473. PubMed ID: 31712701
    [Abstract] [Full Text] [Related]

  • 14. [LAI-based regional winter wheat yield estimation by remote sensing].
    Ren JQ, Chen ZX, Zhou QB, Tang HJ.
    Ying Yong Sheng Tai Xue Bao; 2010 Nov 11; 21(11):2883-8. PubMed ID: 21361014
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  • 17. [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 11; 27(1):191-200. PubMed ID: 27228609
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  • 19. Detection of powdery mildew in two winter wheat plant densities and prediction of grain yield using canopy hyperspectral reflectance.
    Cao X, Luo Y, Zhou Y, Fan J, Xu X, West JS, Duan X, Cheng D.
    PLoS One; 2015 Jan 11; 10(3):e0121462. PubMed ID: 25815468
    [Abstract] [Full Text] [Related]

  • 20. Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea (Pisum sativum, L.).
    Quirós Vargas JJ, Zhang C, Smitchger JA, McGee RJ, Sankaran S.
    Sensors (Basel); 2019 Apr 30; 19(9):. PubMed ID: 31052251
    [Abstract] [Full Text] [Related]

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