05675nam 2201861z- 450 991055766110332120231214132949.0(CKB)5400000000044895(oapen)https://directory.doabooks.org/handle/20.500.12854/76936(EXLCZ)99540000000004489520202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierUAVs for Vegetation MonitoringBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic 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: generalbicsscUASUAVvegetation covermultispectralland coverforestAcaciaIndonesiatropicsvegetation ground covervegetation indicesagro-environmental measuresolive grovessouthern SpainsUASwater stressornamentalcontainer-grownartificial intelligencemachine learningdeep learningneural networkvisual recognitionprecision agriculturecanopy coverimage analysiscrop mappingevapotranspiration (ET)GRAPEXremote sensingTwo Source Energy Balance model (TSEB)contextual spatial domain/resolutiondata aggregationeddy covariance (EC)Fusarium wiltcrop diseasebananamultispectral remote sensingpurple rapeseed leavesunmanned aerial vehicleU-Netplant segmentationnitrogen stressGlycine maxRGBcanopy heightclose remote sensinggrowth modelcurve fittingNDVIsolar zenith angleflight altitudetime of dayoperating parametersCNNFaster RCNNSSDInception v2patch-based CNNMobileNet v2detection performanceinference timedisease detectioncotton root rotplant-levelsingle-plantplant-by-plantclassificationUAV remote sensingcrop monitoringRGB imagerymultispectral imagerycentury-old biocharsemantic segmentationrandom forestcrop canopymultispectral imagechlorophyll contentremote sensing techniqueindividual plant segmentationplant detectiontransfer learningmaize tasseltassel branch numberconvolution neural networkVGG16plant nitrogen estimationvegetation indeximage segmentationtranspirationmethod comparisonoil palmmultiple linear regressionsupport vector machineartificial neural networkUAV hyperspectralwheat yellow rustdisease monitoringtexturespatial resolutionRGB camerathermal cameradrought toleranceforage grassHSVCIELabbroad-sense heritabilityphenotyping gaphigh throughput field phenotypingUAV digital imageswinter wheat biomassmultiscale texturesred-edge spectraleast squares support vector machinevariable importancedronehyperspectralthermalnutrient deficiencyweed detectiondisease diagnosisplant trailsResearch & information: generalde Castro Megías Anaedt1312125Shi YeyinedtPeña Jose MedtMaja Joeedtde Castro Megías AnaothShi YeyinothPeña Jose MothMaja JoeothBOOK9910557661103321UAVs for Vegetation Monitoring3030718UNINA