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Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery.

, , , , , , , and . Remote Sensing, 9 (4): 308 (2017)

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Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery., , , , , , , and . Remote Sensing, 9 (4): 308 (2017)Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops., , , , , and . CoRR, (2021)Towards Vine Water Status Monitoring on a Large Scale Using Sentinel-2 Images., , , , , , and . Remote. Sens., 13 (9): 1837 (2021)Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation., , , , and . EUSIPCO, page 827-831. IEEE, (2022)On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases., , , , , , , and . Remote Sensing, 11 (1): 23 (2019)Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development., , , , , and . Comput. Electron. Agric., (July 2022)Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series., , , , , and . Remote. Sens., 13 (5): 956 (2021)Towards a massive sentinel-2 LAI time-series production using 2-D convolutional networks., , , and . Comput. Electron. Agric., (2021)Understanding Vine Hyperspectral Signature through Different Irrigation Plans: A First Step to Monitor Vineyard Water Status., , , , , and . Remote. Sens., 13 (3): 536 (2021)