Advances in UAV Remote Sensing for Monitoring Crop Water and Nutrient Status: Modeling Methods, Influencing Factors, and Challenges
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Crop water stress detection based on UAV remote sensing systems
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Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques
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Incremental learning for crop growth parameters estimation and nitrogen diagnosis from hyperspectral data
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Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging
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Backscattering from a randomly rough dielectric surface
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Leaf nitrogen content estimation using top-of-canopy airborne hyperspectral data
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The MERIS terrestrial chlorophyll index
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PROSAIL-Net: a transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images
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Removing temperature drift and temporal variation in thermal infrared images of a UAV uncooled thermal infrared imager
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A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8
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Estimating near-infrared reflectance of vegetation from hyperspectral data
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A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status
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Capability of crop water content for revealing variability of winter wheat grain yield and soil moisture under limited irrigation
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A Calibration Procedure for Field and UAV-Based Uncooled thermal infrared Instruments
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Exploring the capabilities of hyperspectral remote sensing for soil texture evaluation
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Evaluation of machine-learning algorithms in estimation of relative water content of sorghum under different irrigated environments
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