VIAF

Virtual International Authority File

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Leader 00000nz a2200037n 45 0
001 WKP|Q89069884 (VIAF cluster) (Authority/Source Record)
003 WKP
005 20241121000348.0
008 241121nneanz||abbn n and d
035 ‎‡a (WKP)Q89069884‏
024 ‎‡a 0000-0002-5940-6123‏ ‎‡2 orcid‏
024 ‎‡a 8608211200‏ ‎‡2 scopus‏
035 ‎‡a (OCoLC)Q89069884‏
100 0 ‎‡a Miguel A Moreno‏ ‎‡c researcher‏ ‎‡9 en‏
400 0 ‎‡a Miguel A Moreno‏ ‎‡c onderzoeker‏ ‎‡9 nl‏
670 ‎‡a Author's Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle‏
670 ‎‡a Author's Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV).‏
670 ‎‡a Author's Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution‏
670 ‎‡a Author's Feasibility of the Use of Variable Speed Drives in Center Pivot Systems Installed in Plots with Variable Topography‏
670 ‎‡a Author's FORETo: New software for reference evapotranspiration forecasting‏
670 ‎‡a Author's Modelling and Management of Irrigation System‏
670 ‎‡a Author's Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques‏
670 ‎‡a Author's Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture.‏
909 ‎‡a (orcid) 0000000259406123‏ ‎‡9 1‏
909 ‎‡a (scopus) 8608211200‏ ‎‡9 1‏
919 ‎‡a foretonewsoftwareforreferenceevapotranspirationforecasting‏ ‎‡A FORETo: New software for reference evapotranspiration forecasting‏ ‎‡9 1‏
919 ‎‡a modellingandmanagementofirrigationsystem‏ ‎‡A Modelling and Management of Irrigation System‏ ‎‡9 1‏
919 ‎‡a quantifyingtheeffectofjacobiascalybicapestonvineyardswithuavsbycombininggeometricandcomputervisiontechniques‏ ‎‡A Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques‏ ‎‡9 1‏
919 ‎‡a artificialneuralnetworktopredictvinewaterstatusspatialvariabilityusingmultispectralinformationobtainedfromanunmannedaerialvehicle‏ ‎‡A Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle‏ ‎‡9 1‏
919 ‎‡a artificialneuralnetworktopredictvinewaterstatusspatialvariabilityusingmultispectralinformationobtainedfromanunmannedaerialvehicleuav‏ ‎‡A Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV).‏ ‎‡9 1‏
919 ‎‡a assessingtheperformanceofalargescaleirrigationsystembyestimationsofactualevapotranspirationobtainedbylandsatsatelliteimagesresampledwithcubicconvolution‏ ‎‡A Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution‏ ‎‡9 1‏
919 ‎‡a feasibilityoftheuseofvariablespeeddrivesincenterpivotsystemsinstalledinplotswithvariabletopography‏ ‎‡A Feasibility of the Use of Variable Speed Drives in Center Pivot Systems Installed in Plots with Variable Topography‏ ‎‡9 1‏
919 ‎‡a uncooledthermalcameracalibrationandoptimizationofthephotogrammetryprocessforuavapplicationsinagriculture‏ ‎‡A Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture.‏ ‎‡9 1‏
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