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Journal Abstract Search

741 related items for PubMed ID: 30374821

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  • 2. Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development.
    Shafian S, Rajan N, Schnell R, Bagavathiannan M, Valasek J, Shi Y, Olsenholler J.
    PLoS One; 2018; 13(5):e0196605. PubMed ID: 29715311
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  • 3. [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; 27(1):191-200. PubMed ID: 27228609
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  • 6. 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 25; 20(23):. PubMed ID: 33255612
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  • 8. 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 25; 282():95-103. PubMed ID: 31003615
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  • 12. A Framework for Agricultural Pest and Disease Monitoring Based on Internet-of-Things and Unmanned Aerial Vehicles.
    Gao D, Sun Q, Hu B, Zhang S.
    Sensors (Basel); 2020 Mar 08; 20(5):. PubMed ID: 32182732
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  • 13. 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 Mar 08; 13():957870. PubMed ID: 35991436
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  • 14. Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices.
    Zhang Y, Han W, Niu X, Li G.
    Sensors (Basel); 2019 Nov 29; 19(23):. PubMed ID: 31795309
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  • 16. [Validation of vegetation coverage and NDVI based on UAV remote sensing method and its response to hydrothermal gradient].
    Tang L, He MZ, Xu H, Jia PC.
    Ying Yong Sheng Tai Xue Bao; 2020 Jan 29; 31(1):35-44. PubMed ID: 31957378
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  • 17. Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods.
    Guo Y, Yin G, Sun H, Wang H, Chen S, Senthilnath J, Wang J, Fu Y.
    Sensors (Basel); 2020 Sep 09; 20(18):. PubMed ID: 32916808
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  • 18. UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.
    Mazzia V, Comba L, Khaliq A, Chiaberge M, Gay P.
    Sensors (Basel); 2020 Apr 29; 20(9):. PubMed ID: 32365636
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  • 19. [Fractional vegetation cover of invasive Spartina alterniflora in coastal wetland using unmanned aerial vehicle (UAV)remote sensing].
    Zhou ZM, Yang YM, Chen BQ.
    Ying Yong Sheng Tai Xue Bao; 2016 Dec 29; 27(12):3920-3926. PubMed ID: 29704351
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  • 20. High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes.
    Caruso G, Zarco-Tejada PJ, González-Dugo V, Moriondo M, Tozzini L, Palai G, Rallo G, Hornero A, Primicerio J, Gucci R.
    PLoS One; 2019 Dec 29; 14(1):e0210804. PubMed ID: 30668591
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