LEADER 00997nam a2200265 i 4500 001 991003410439707536 005 20020509121652.0 008 980225s1992 it ||| | ita 020 $a8820470152 035 $ab11157379-39ule_inst 035 $aPARLA181334$9ExL 040 $aDip.to Filosofia$bita 082 0 $a430.9 100 1 $aCanedi, Maria Luisa$0540139 245 10$aJacob Grimm :$bla parola e la storia /$ca cura di Maria Luisa Canedi ; scritti di G. Mazzuoli Porru ... [et al.] 260 $aMilano :$bFrancoAngeli,$cc1992 300 $a93 p. ;$c22 cm. 490 0 $aScienza della letteratura e del linguaggio / Università di Verona ;$v8. 700 1 $aMazzuoli Porru, Giulia 907 $a.b11157379$b23-02-17$c28-06-02 912 $a991003410439707536 945 $aLE005 MF 52 A 108$g1$i2005000015847$lle005$o-$pE0.00$q-$rl$s- $t0$u2$v1$w2$x0$y.i11300346$z28-06-02 996 $aJacob Grimm$9872913 997 $aUNISALENTO 998 $ale005$b01-01-98$cm$da $e-$fita$git $h0$i1 LEADER 05692nam 2201873z- 450 001 9910557661103321 005 20220111 035 $a(CKB)5400000000044895 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76936 035 $a(oapen)doab76936 035 $a(EXLCZ)995400000000044895 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aUAVs for Vegetation Monitoring 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (452 p.) 311 08$a3-0365-2192-5 311 08$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 $aAcacia 610 $aagro-environmental measures 610 $aartificial intelligence 610 $aartificial neural network 610 $abanana 610 $abroad-sense heritability 610 $acanopy cover 610 $acanopy height 610 $acentury-old biochar 610 $achlorophyll content 610 $aCIELab 610 $aclassification 610 $aclose remote sensing 610 $aCNN 610 $acontainer-grown 610 $acontextual spatial domain/resolution 610 $aconvolution neural network 610 $acotton root rot 610 $acrop canopy 610 $acrop disease 610 $acrop mapping 610 $acrop monitoring 610 $acurve fitting 610 $adata aggregation 610 $adeep learning 610 $adetection performance 610 $adisease detection 610 $adisease diagnosis 610 $adisease monitoring 610 $adrone 610 $adrought tolerance 610 $aeddy covariance (EC) 610 $aevapotranspiration (ET) 610 $aFaster RCNN 610 $aflight altitude 610 $aforage grass 610 $aforest 610 $aFusarium wilt 610 $aGlycine max 610 $aGRAPEX 610 $agrowth model 610 $ahigh throughput field phenotyping 610 $aHSV 610 $ahyperspectral 610 $aimage analysis 610 $aimage segmentation 610 $aInception v2 610 $aindividual plant segmentation 610 $aIndonesia 610 $ainference time 610 $aland cover 610 $aleast squares support vector machine 610 $amachine learning 610 $amaize tassel 610 $amethod comparison 610 $aMobileNet v2 610 $amultiple linear regression 610 $amultiscale textures 610 $amultispectral 610 $amultispectral image 610 $amultispectral imagery 610 $amultispectral remote sensing 610 $aNDVI 610 $aneural network 610 $anitrogen stress 610 $anutrient deficiency 610 $aoil palm 610 $aolive groves 610 $aoperating parameters 610 $aornamental 610 $apatch-based CNN 610 $aphenotyping gap 610 $aplant detection 610 $aplant nitrogen estimation 610 $aplant segmentation 610 $aplant trails 610 $aplant-by-plant 610 $aplant-level 610 $aprecision agriculture 610 $apurple rapeseed leaves 610 $arandom forest 610 $ared-edge spectra 610 $aremote sensing 610 $aremote sensing technique 610 $aRGB 610 $aRGB camera 610 $aRGB imagery 610 $asemantic segmentation 610 $asingle-plant 610 $asolar zenith angle 610 $asouthern Spain 610 $aspatial resolution 610 $aSSD 610 $asUAS 610 $asupport vector machine 610 $atassel branch number 610 $atexture 610 $athermal 610 $athermal camera 610 $atime of day 610 $atransfer learning 610 $atranspiration 610 $atropics 610 $aTwo Source Energy Balance model (TSEB) 610 $aU-Net 610 $aUAS 610 $aUAV 610 $aUAV digital images 610 $aUAV hyperspectral 610 $aUAV remote sensing 610 $aunmanned aerial vehicle 610 $avariable importance 610 $avegetation cover 610 $avegetation ground cover 610 $avegetation index 610 $avegetation indices 610 $aVGG16 610 $avisual recognition 610 $awater stress 610 $aweed detection 610 $awheat yellow rust 610 $awinter wheat biomass 615 7$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