LEADER 05675nam 2201861z- 450 001 9910557661103321 005 20231214132949.0 035 $a(CKB)5400000000044895 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76936 035 $a(EXLCZ)995400000000044895 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUAVs for Vegetation Monitoring 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (452 p.) 311 $a3-0365-2192-5 311 $a3-0365-2191-7 330 $aThis 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. 606 $aResearch & information: general$2bicssc 610 $aUAS 610 $aUAV 610 $avegetation cover 610 $amultispectral 610 $aland cover 610 $aforest 610 $aAcacia 610 $aIndonesia 610 $atropics 610 $avegetation ground cover 610 $avegetation indices 610 $aagro-environmental measures 610 $aolive groves 610 $asouthern Spain 610 $asUAS 610 $awater stress 610 $aornamental 610 $acontainer-grown 610 $aartificial intelligence 610 $amachine learning 610 $adeep learning 610 $aneural network 610 $avisual recognition 610 $aprecision agriculture 610 $acanopy cover 610 $aimage analysis 610 $acrop mapping 610 $aevapotranspiration (ET) 610 $aGRAPEX 610 $aremote sensing 610 $aTwo Source Energy Balance model (TSEB) 610 $acontextual spatial domain/resolution 610 $adata aggregation 610 $aeddy covariance (EC) 610 $aFusarium wilt 610 $acrop disease 610 $abanana 610 $amultispectral remote sensing 610 $apurple rapeseed leaves 610 $aunmanned aerial vehicle 610 $aU-Net 610 $aplant segmentation 610 $anitrogen stress 610 $aGlycine max 610 $aRGB 610 $acanopy height 610 $aclose remote sensing 610 $agrowth model 610 $acurve fitting 610 $aNDVI 610 $asolar zenith angle 610 $aflight altitude 610 $atime of day 610 $aoperating parameters 610 $aCNN 610 $aFaster RCNN 610 $aSSD 610 $aInception v2 610 $apatch-based CNN 610 $aMobileNet v2 610 $adetection performance 610 $ainference time 610 $adisease detection 610 $acotton root rot 610 $aplant-level 610 $asingle-plant 610 $aplant-by-plant 610 $aclassification 610 $aUAV remote sensing 610 $acrop monitoring 610 $aRGB imagery 610 $amultispectral imagery 610 $acentury-old biochar 610 $asemantic segmentation 610 $arandom forest 610 $acrop canopy 610 $amultispectral image 610 $achlorophyll content 610 $aremote sensing technique 610 $aindividual plant segmentation 610 $aplant detection 610 $atransfer learning 610 $amaize tassel 610 $atassel branch number 610 $aconvolution neural network 610 $aVGG16 610 $aplant nitrogen estimation 610 $avegetation index 610 $aimage segmentation 610 $atranspiration 610 $amethod comparison 610 $aoil palm 610 $amultiple linear regression 610 $asupport vector machine 610 $aartificial neural network 610 $aUAV hyperspectral 610 $awheat yellow rust 610 $adisease monitoring 610 $atexture 610 $aspatial resolution 610 $aRGB camera 610 $athermal camera 610 $adrought tolerance 610 $aforage grass 610 $aHSV 610 $aCIELab 610 $abroad-sense heritability 610 $aphenotyping gap 610 $ahigh throughput field phenotyping 610 $aUAV digital images 610 $awinter wheat biomass 610 $amultiscale textures 610 $ared-edge spectra 610 $aleast squares support vector machine 610 $avariable importance 610 $adrone 610 $ahyperspectral 610 $athermal 610 $anutrient deficiency 610 $aweed detection 610 $adisease diagnosis 610 $aplant trails 615 7$aResearch & information: general 700 $ade Castro Megías$b Ana$4edt$01312125 702 $aShi$b Yeyin$4edt 702 $aPeña$b Jose M$4edt 702 $aMaja$b Joe$4edt 702 $ade Castro Megías$b Ana$4oth 702 $aShi$b Yeyin$4oth 702 $aPeña$b Jose M$4oth 702 $aMaja$b Joe$4oth 906 $aBOOK 912 $a9910557661103321 996 $aUAVs for Vegetation Monitoring$93030718 997 $aUNINA