05692nam 2201873z- 450 991055766110332120220111(CKB)5400000000044895(oapen)https://directory.doabooks.org/handle/20.500.12854/76936(oapen)doab76936(EXLCZ)99540000000004489520202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierUAVs for Vegetation MonitoringBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (452 p.)3-0365-2192-5 3-0365-2191-7 This book compiles a set of original and innovative papers included in the Special Issue on UAVs for vegetation monitoring, which proves the wide scope of UAVs in very diverse vegetation applications, both in agricultural and forestry scenarios, ranging from the characterization of relevant vegetation features to the detection of plant or crop stressors. New methods and techniques are developed and applied to diverse vegetation scenarios to meet the main challenge of sustainability.Research & information: generalbicsscAcaciaagro-environmental measuresartificial intelligenceartificial neural networkbananabroad-sense heritabilitycanopy covercanopy heightcentury-old biocharchlorophyll contentCIELabclassificationclose remote sensingCNNcontainer-growncontextual spatial domain/resolutionconvolution neural networkcotton root rotcrop canopycrop diseasecrop mappingcrop monitoringcurve fittingdata aggregationdeep learningdetection performancedisease detectiondisease diagnosisdisease monitoringdronedrought toleranceeddy covariance (EC)evapotranspiration (ET)Faster RCNNflight altitudeforage grassforestFusarium wiltGlycine maxGRAPEXgrowth modelhigh throughput field phenotypingHSVhyperspectralimage analysisimage segmentationInception v2individual plant segmentationIndonesiainference timeland coverleast squares support vector machinemachine learningmaize tasselmethod comparisonMobileNet v2multiple linear regressionmultiscale texturesmultispectralmultispectral imagemultispectral imagerymultispectral remote sensingNDVIneural networknitrogen stressnutrient deficiencyoil palmolive grovesoperating parametersornamentalpatch-based CNNphenotyping gapplant detectionplant nitrogen estimationplant segmentationplant trailsplant-by-plantplant-levelprecision agriculturepurple rapeseed leavesrandom forestred-edge spectraremote sensingremote sensing techniqueRGBRGB cameraRGB imagerysemantic segmentationsingle-plantsolar zenith anglesouthern Spainspatial resolutionSSDsUASsupport vector machinetassel branch numbertexturethermalthermal cameratime of daytransfer learningtranspirationtropicsTwo Source Energy Balance model (TSEB)U-NetUASUAVUAV digital imagesUAV hyperspectralUAV remote sensingunmanned aerial vehiclevariable importancevegetation covervegetation ground covervegetation indexvegetation indicesVGG16visual recognitionwater stressweed detectionwheat yellow rustwinter wheat biomassResearch & information: generalde Castro Megías Anaedt1312125Shi YeyinedtPeña Jose MedtMaja Joeedtde Castro Megías AnaothShi YeyinothPeña Jose MothMaja JoeothBOOK9910557661103321UAVs for Vegetation Monitoring3030718UNINA