LEADER 02749nam 2200409 450 001 9910476757703321 005 20230515224541.0 035 $a(CKB)5470000000566722 035 $a(NjHacI)995470000000566722 035 $a(EXLCZ)995470000000566722 100 $a20230515d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRomanticism and Time /$fedited by Sophie Laniel-Musitelli, Ce?line Sabiron 210 1$aCambridge, UK :$cOpen Book Publishers,$d2021. 215 $a1 online resource (xxii, 286 pages) $ccolor illustrations 300 $aIncludes index. 311 $a1-80064-076-5 327 $aIntro -- Contents -- Acknowledgements -- Introduction: The Times of Romanticism -- Section I -- Restoration, Revival, and Revolution across Romantic Europe -- 1. Future Restoration -- 2. Anthropocene Temporalities and British Romantic Poetry -- 3. Beethoven: Revolutionary Transformations -- Section II -- Romantic Conceptions of Time -- 4. The Temporality of the Soul: Immanent Conceptions of Time in Wordsworth and Byron -- 5. 'Footing slow across a silent plain': Time and Walking in Keatsian Poetics -- Section III -- The Poetics of Time 6. Contracting Time: John Clare's The Shepherd's Calendar -- 7. Book-Time in Charles Lamb and Washington Irving -- 8. 'A disciple of Albertus Magnus ... in the eighteenth century': Anachronism and Anachrony in Frankenstein -- Section IV -- Persistence and Afterlives -- 9. Heaps of Time in Beckett and Shelley -- 10. 'Thy Wreck a Glory': Venice, Subjectivity, and Temporality in Byron and Shelley and the Post-Romantic Imagination -- Section V -- Romanticism and Periodisation -- Romanticism and Periodisation: A Roundtable -- List of Contributors -- List of Figures -- Index. 330 $a'Eternity is in love with the productions of time'. This original edited volume takes William Blake's aphorism as a basis to explore how British Romantic literature creates its own sense of time. It considers Romantic poetry as embedded in and reflecting on the march of time, regarding it not merely as a reaction to the course of events between the late-eighteenth and mid-nineteenth centuries, but also as a form of creative engagement with history in the making. 517 $aRomanticism and Time 606 $aEnglish poetry$y19th century 606 $aRomanticism 615 0$aEnglish poetry 615 0$aRomanticism. 676 $a821.808 702 $aLaniel-Musitelli$b Sophie 702 $aSabiron$b Ce?line 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910476757703321 996 $aRomanticism and Time$92987992 997 $aUNINA LEADER 07681nam 2202365z- 450 001 9910619464703321 005 20221025 010 $a3-0365-5338-X 035 $a(CKB)5670000000391627 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93233 035 $a(oapen)doab93233 035 $a(EXLCZ)995670000000391627 100 $a20202210d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSustainable Agriculture and Advances of Remote Sensing (Volume 1) 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (324 p.) 311 08$a3-0365-5337-1 330 $aAgriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publishing the results, among others. 517 $aSustainable Agriculture and Advances of Remote Sensing 606 $aGeography$2bicssc 606 $aResearch & information: general$2bicssc 610 $a1D convolution neural networks 610 $a3D bale wrapping method 610 $a3D Convolutional Neural Network 610 $aagricultural monitoring 610 $aagriculture 610 $aalgorithms 610 $aanomaly intrusion detection 610 $aartificial neural network 610 $aautonomous robots 610 $aband selection 610 $aBidirectional long-short term memory 610 $aBoufakrane River watershed 610 $acanopy conductance 610 $aCCA 610 $achlorophyll a 610 $achlorophyll-a concentration 610 $aclimate change 610 $aclustering 610 $aCNN 610 $acoastal management 610 $aCoatzacoalcos 610 $aComino 610 $acomputer vision 610 $aconvolutional neural networks 610 $aCopernicus Sentinels 610 $acrop classification 610 $acrop fields 610 $acrop mapping 610 $acrop yield improvement 610 $acrops 610 $acrops diseases 610 $acubic SVM 610 $acucumber 610 $adata analysis 610 $adata augmentation 610 $adata fusion 610 $adeep learning 610 $adeep transfer learning 610 $adensity estimation 610 $adissolved oxygen 610 $adrone 610 $aentropy 610 $aenvironmental monitoring 610 $aenvironmental protection 610 $aequal bale dimensions 610 $aevapotranspiration 610 $aExplainable Artificial Intelligence 610 $aFaster R-CNN 610 $afeatures fusion 610 $afood security 610 $aforest roads 610 $ageographic information system (GIS) 610 $aGIS 610 $aGoogle Earth Engine 610 $aGozo 610 $agreen ring 610 $agreen technologies 610 $aguava disease 610 $ahistogram 610 $ahyperparameter optimization 610 $ahyperspectral 610 $ahyperspectral imagery 610 $ahyperspectral imaging 610 $ahyperspectral remoting sensing 610 $aIDS 610 $aimage classification 610 $ainternet of things 610 $aInternet of Things 610 $ainternode-elongation 610 $aInterreg 610 $ainvasive plants 610 $aIoT 610 $aIoT ecosystem 610 $airrigation requirements 610 $aland use 610 $aland use classification 610 $aLand Use/Land Cover 610 $aLandsat 610 $aleaf disease 610 $aLISS-III 610 $amachine learning 610 $amachine learning algorithm 610 $amachine vision 610 $aMalta 610 $amango leaf 610 $amathematical model 610 $ametaheuristic 610 $aminimal film consumption 610 $amodeling 610 $amodeling approach 610 $amodified normalized difference water index (MNDWI) 610 $amodular robot 610 $amulti-temporal data 610 $amultispectral 610 $anatural resources 610 $aNDVI 610 $anitrate 610 $anitrogen prediction 610 $anormalized difference vegetation index (NDVI) 610 $aobject-based classification 610 $aoptimal bale dimensions 610 $aordinary kriging 610 $aordinary Kriging 610 $aoverfitting 610 $apanicle initiation 610 $apath planning 610 $apenman-monteith equation 610 $apest control 610 $aphotogrammetry 610 $aplant disease detection 610 $apocket beaches 610 $aprecision agriculture 610 $aprobe 610 $aproximal sensing 610 $arandom forest 610 $arational sampling numbers 610 $aremote sensing 610 $aresource constraint 610 $aRF 610 $arice farming 610 $arice plant 610 $around bales 610 $asampling 610 $aSAR 610 $asatellite image analysis 610 $aselective spraying 610 $asensor 610 $aSentinel 1 and 2 610 $aSentinel-1a 610 $aSentinel-2 610 $aSicily 610 $asimulation 610 $asite-specific 610 $asite-specific weed management 610 $asmart agriculture 610 $asoil attribute 610 $asoil pH 610 $asoil tillage 610 $aspatial heterogeneity 610 $aspatial variation 610 $asustainable agriculture 610 $asustainable environment 610 $asustainable land use 610 $aSVM 610 $aSynthetic Aperture Radar (SAR) 610 $asystematic literature review 610 $atemperature profile 610 $atime series analysis 610 $atransfer learning 610 $aurban flood 610 $avein pattern 610 $avirtual pests 610 $aVision Transformer 610 $avision-based crop and weed detection 610 $awater extraction 610 $awater quality 610 $awater resources 610 $aweed 610 $aYOLOv5 610 $aZiz basin 615 7$aGeography 615 7$aResearch & information: general 700 $aParaforos$b Dimitrios$4edt$01315238 702 $aMuzirafuti$b Anselme$4edt 702 $aRandazzo$b Giovanni$4edt 702 $aLanza$b Stefania$4edt 702 $aParaforos$b Dimitrios$4oth 702 $aMuzirafuti$b Anselme$4oth 702 $aRandazzo$b Giovanni$4oth 702 $aLanza$b Stefania$4oth 906 $aBOOK 912 $a9910619464703321 996 $aSustainable Agriculture and Advances of Remote Sensing (Volume 1)$93032285 997 $aUNINA