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Journal Abstract Search

288 related items for PubMed ID: 36035659

  • 1. Multispectral remote sensing for accurate acquisition of rice phenotypes: Impacts of radiometric calibration and unmanned aerial vehicle flying altitudes.
    Luo S, Jiang X, Yang K, Li Y, Fang S.
    Front Plant Sci; 2022; 13():958106. PubMed ID: 36035659
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  • 2. Inversion of Winter Wheat Growth Parameters and Yield Under Different Water Treatments Based on UAV Multispectral Remote Sensing.
    Han X, Wei Z, Chen H, Zhang B, Li Y, Du T.
    Front Plant Sci; 2021; 12():609876. PubMed ID: 34093601
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  • 3. 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
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  • 7. Calibration of BRDF Based on the Field Goniometer System Using a UAV Multispectral Camera.
    Kim M, Jin C, Lee S, Kim KM, Lim J, Choi C.
    Sensors (Basel); 2022 Oct 02; 22(19):. PubMed ID: 36236578
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  • 9. Enhancing Winter Wheat Soil-Plant Analysis Development Value Prediction through Evaluating Unmanned Aerial Vehicle Flight Altitudes, Predictor Variable Combinations, and Machine Learning Algorithms.
    Wang J, Yin Q, Cao L, Zhang Y, Li W, Wang W, Zhou G, Huo Z.
    Plants (Basel); 2024 Jul 12; 13(14):. PubMed ID: 39065453
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  • 10. 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 Jul 12; 13():957870. PubMed ID: 35991436
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  • 13. Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data.
    Fei S, Hassan MA, Ma Y, Shu M, Cheng Q, Li Z, Chen Z, Xiao Y.
    Front Plant Sci; 2021 Jul 12; 12():730181. PubMed ID: 34987529
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  • 14. 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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  • 15. Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering.
    Camenzind MP, Yu K.
    Front Plant Sci; 2023 Jan 13; 14():1214931. PubMed ID: 38235203
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  • 16. Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery.
    Wang F, Wang F, Zhang Y, Hu J, Huang J, Xie J.
    Front Plant Sci; 2019 Jan 13; 10():453. PubMed ID: 31024607
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  • 18. Configuration and specifications of an Unmanned Aerial Vehicle (UAV) for early site specific weed management.
    Torres-Sánchez J, López-Granados F, De Castro AI, Peña-Barragán JM.
    PLoS One; 2013 Jan 13; 8(3):e58210. PubMed ID: 23483997
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  • 20. Estimation of Rice Aboveground Biomass by Combining Canopy Spectral Reflectance and Unmanned Aerial Vehicle-Based Red Green Blue Imagery Data.
    Wang Z, Ma Y, Chen P, Yang Y, Fu H, Yang F, Raza MA, Guo C, Shu C, Sun Y, Yang Z, Chen Z, Ma J.
    Front Plant Sci; 2022 Jan 13; 13():903643. PubMed ID: 35712565
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