LEADER 01956nam0 2200397 i 450 001 SUN0126910 005 20200224021231.926 010 $d0.00 017 70$2N$a978-3-030-21473-9 100 $a20200218d2019 |0engc50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $a*Imperfect Bifurcation in Structures and Materials$eEngineering Use of Group-Theoretic Bifurcation Theory$fKiyohiro Ikeda, Kazuo Murota 205 $a3. ed 210 $aCham$cSpringer$d2019 215 $axxv, 590 p.$cill.$d24 cm 410 1$1001SUN0023717$12001 $a*Applied mathematical sciences$v149$1210 $aNew York$cSpringer. 606 $a58-XX$xGlobal analysis, analysis on manifolds [MSC 2020]$2MF$3SUNC019758 606 $a34-XX$xOrdinary differential equations [MSC 2020]$2MF$3SUNC021251 606 $a74-XX$xMechanics of deformable solids [MSC 2020]$2MF$3SUNC022466 606 $a74Gxx$xEquilibrium (steady-state) problems in solid mechanics [MSC 2020]$2MF$3SUNC023092 606 $a34Fxx$xOrdinary differential equations and systems with randomness [MSC 2020]$2MF$3SUNC028778 606 $a58K70$xSymmetries, equivariance on manifolds [MSC 2020]$2MF$3SUNC029374 606 $a58D19$xGroup actions and symmetry properties [MSC 2020]$2MF$3SUNC030949 606 $a58E09$xGroup-invariant bifurcation theory in infinite-dimensional spaces [MSC 2020]$2MF$3SUNC035628 620 $aCH$dCham$3SUNL001889 700 1$aIkeda$b, Kiyohiro$3SUNV098322$066979 701 1$aMurota$b, Kazuo$3SUNV047623$057590 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20210503$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-21473-9 912 $aSUN0126910 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1608 $e08eMF1608 20200218 996 $aImperfect Bifurcation in Structures and Materials$91732503 997 $aUNICAMPANIA LEADER 04718nam 2201309z- 450 001 9910557895803321 005 20231214133159.0 035 $a(CKB)5400000000046322 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69375 035 $a(EXLCZ)995400000000046322 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications of Remote Image Capture System in Agriculture 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (310 p.) 311 $a3-03943-805-0 311 $a3-03943-806-9 330 $aRemote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering. 606 $aHistory of engineering & technology$2bicssc 610 $aSVM 610 $abudding rate 610 $aUAV 610 $ageometric consistency 610 $aradiometric consistency 610 $apoint clouds 610 $aICP 610 $areflectance maps 610 $avegetation indices 610 $aParrot Sequoia 610 $aartificial intelligence 610 $aprecision agriculture 610 $aagricultural robot 610 $aoptimization algorithm 610 $aonline operation 610 $asegmentation 610 $acoffee leaf rust 610 $amachine learning 610 $adeep learning 610 $aremote sensing 610 $aFourth Industrial Revolution 610 $aAgriculture 4.0 610 $afailure strain 610 $asandstone 610 $adigital image correlation 610 $aHill-Tsai failure criterion 610 $afinite element method 610 $areference evapotranspiration 610 $amoisture sensors 610 $amachine learning regression 610 $afrequency-domain reflectometry 610 $arandomizable filtered classifier 610 $aconvolutional neural network 610 $aU-Net 610 $aland use 610 $abanana plantation 610 $aPanama TR4 610 $aaerial photography 610 $aremote images 610 $asystematic mapping study 610 $aagriculture 610 $aapplications 610 $atotal leaf area 610 $amixed pixels 610 $aCabernet Sauvignon 610 $aNDVI 610 $aNormalized Difference Vegetation Index 610 $aprecision viticulture 610 $a3D model 610 $aspatial vision 610 $afertirrigation 610 $ateaching-learning 610 $aspectrometry 610 $aSentinel-2 610 $apasture quality index 610 $anormalized difference vegetation index 610 $anormalized difference water index 610 $asupplementation 610 $adecision making 610 $adigital agriculture 610 $agrape yield estimate 610 $aberries counting 610 $aDilated CNN 610 $amachine learning algorithms 610 $aclassification performance 610 $awinter wheat mapping 610 $alarge-scale 610 $awater stress 610 $aPrunus avium L. 610 $astem water potential 610 $alow-cost thermography 610 $athermal indexes 610 $acanopy temperature 610 $anon-water-stressed baselines 610 $anon-transpiration baseline 610 $asoil moisture 610 $aandosols 610 $aimage processing 610 $agreenhouse 610 $aautomatic tomato harvesting 615 7$aHistory of engineering & technology 700 $aMolina Marti?nez$b Jose? Miguel$4edt$01324221 702 $aGarci?a-Mateos$b Gine?s$4edt 702 $aMolina Marti?nez$b Jose? Miguel$4oth 702 $aGarci?a-Mateos$b Gine?s$4oth 906 $aBOOK 912 $a9910557895803321 996 $aApplications of Remote Image Capture System in Agriculture$93036065 997 $aUNINA