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536 related items for PubMed ID: 35386677

  • 1. Hyperspectral Monitoring of Powdery Mildew Disease Severity in Wheat Based on Machine Learning.
    Feng ZH, Wang LY, Yang ZQ, Zhang YY, Li X, Song L, He L, Duan JZ, Feng W.
    Front Plant Sci; 2022; 13():828454. PubMed ID: 35386677
    [Abstract] [Full Text] [Related]

  • 2. Monitoring Wheat Powdery Mildew Based on Hyperspectral, Thermal Infrared, and RGB Image Data Fusion.
    Feng Z, Song L, Duan J, He L, Zhang Y, Wei Y, Feng W.
    Sensors (Basel); 2021 Dec 22; 22(1):. PubMed ID: 35009575
    [Abstract] [Full Text] [Related]

  • 3. Improved multivariate modeling for soil organic matter content estimation using hyperspectral indexes and characteristic bands.
    Zhao MS, Wang T, Lu Y, Wang S, Wu Y.
    PLoS One; 2023 Dec 22; 18(6):e0286825. PubMed ID: 37315071
    [Abstract] [Full Text] [Related]

  • 4. 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
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  • 5. Comparison of new hyperspectral index and machine learning models for prediction of winter wheat leaf water content.
    Zhang J, Zhang W, Xiong S, Song Z, Tian W, Shi L, Ma X.
    Plant Methods; 2021 Mar 31; 17(1):34. PubMed ID: 33789711
    [Abstract] [Full Text] [Related]

  • 6. Canopy Vegetation Indices from In situ Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress.
    Feng W, Qi S, Heng Y, Zhou Y, Wu Y, Liu W, He L, Li X.
    Front Plant Sci; 2017 Mar 31; 8():1219. PubMed ID: 28751904
    [Abstract] [Full Text] [Related]

  • 7. Potential of Multivariate Statistical Technique Based on the Effective Spectra Bands to Estimate the Plant Water Content of Wheat Under Different Irrigation Regimes.
    Sun H, Feng M, Xiao L, Yang W, Ding G, Wang C, Jia X, Wu G, Zhang S.
    Front Plant Sci; 2021 Mar 31; 12():631573. PubMed ID: 33719305
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  • 15. Identification of Leaf-Scale Wheat Powdery Mildew (Blumeria graminis f. sp. Tritici) Combining Hyperspectral Imaging and an SVM Classifier.
    Zhao J, Fang Y, Chu G, Yan H, Hu L, Huang L.
    Plants (Basel); 2020 Jul 24; 9(8):. PubMed ID: 32722022
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  • 19. Monitoring powdery mildew of winter wheat by using moderate resolution multi-temporal satellite imagery.
    Zhang J, Pu R, Yuan L, Wang J, Huang W, Yang G.
    PLoS One; 2014 Jul 24; 9(4):e93107. PubMed ID: 24691435
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  • 20. Soil Nutrient Estimation and Mapping in Farmland Based on UAV Imaging Spectrometry.
    Yang X, Bao N, Li W, Liu S, Fu Y, Mao Y.
    Sensors (Basel); 2021 Jun 06; 21(11):. PubMed ID: 34204160
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