LEADER 07668nam 2202353z- 450 001 9910619464803321 005 20231214133632.0 010 $a3-0365-5336-3 035 $a(CKB)5670000000391626 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93234 035 $a(EXLCZ)995670000000391626 100 $a20202210d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSustainable Agriculture and Advances of Remote Sensing (Volume 2) 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (322 p.) 311 $a3-0365-5335-5 330 $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 publication of the results, among others. 517 $aSustainable Agriculture and Advances of Remote Sensing 606 $aResearch & information: general$2bicssc 606 $aGeography$2bicssc 610 $ageographic information system (GIS) 610 $apocket beaches 610 $acoastal management 610 $aInterreg 610 $aclimate change 610 $aremote sensing 610 $adrone 610 $aSicily 610 $aMalta 610 $aGozo 610 $aComino 610 $asystematic literature review 610 $aanomaly intrusion detection 610 $adeep learning 610 $aIoT 610 $aresource constraint 610 $aIDS 610 $aevapotranspiration 610 $apenman-monteith equation 610 $aartificial neural network 610 $acanopy conductance 610 $aZiz basin 610 $awater quality 610 $asatellite image analysis 610 $amodeling approach 610 $anitrate 610 $adissolved oxygen 610 $achlorophyll a 610 $atime series analysis 610 $aenvironmental monitoring 610 $awater extraction 610 $amodified normalized difference water index (MNDWI) 610 $amachine learning algorithm 610 $ahyperspectral 610 $aproximal sensing 610 $apanicle initiation 610 $anormalized difference vegetation index (NDVI) 610 $agreen ring 610 $ainternode-elongation 610 $aSentinel 1 and 2 610 $aCopernicus Sentinels 610 $acrop classification 610 $afood security 610 $aagricultural monitoring 610 $adata analysis 610 $aSAR 610 $arandom forest 610 $a3D bale wrapping method 610 $aequal bale dimensions 610 $amathematical model 610 $aminimal film consumption 610 $aoptimal bale dimensions 610 $around bales 610 $aSentinel-2 610 $aSVM 610 $aRF 610 $aBoufakrane River watershed 610 $airrigation requirements 610 $awater resources 610 $asustainable land use 610 $aagriculture 610 $ainvasive plants 610 $aprecision agriculture 610 $arice farming 610 $asite-specific weed management 610 $anitrogen prediction 610 $a1D convolution neural networks 610 $acucumber 610 $acrop yield improvement 610 $amango leaf 610 $aCCA 610 $avein pattern 610 $aleaf disease 610 $acubic SVM 610 $achlorophyll-a concentration 610 $atransfer learning 610 $aoverfitting 610 $adata augmentation 610 $aguava disease 610 $aplant disease detection 610 $acrops diseases 610 $aentropy 610 $afeatures fusion 610 $amachine learning 610 $aobject-based classification 610 $adensity estimation 610 $ahistogram 610 $aland use 610 $acrop fields 610 $asoil tillage 610 $adata fusion 610 $amultispectral 610 $asensor 610 $aprobe 610 $atemperature profile 610 $aforest roads 610 $asimulation 610 $aautonomous robots 610 $asmart agriculture 610 $aenvironmental protection 610 $aphotogrammetry 610 $apath planning 610 $ainternet of things 610 $amodeling 610 $aconvolutional neural networks 610 $amachine vision 610 $acomputer vision 610 $amodular robot 610 $aselective spraying 610 $avision-based crop and weed detection 610 $aFaster R-CNN 610 $aYOLOv5 610 $aband selection 610 $aCNN 610 $aNDVI 610 $ahyperspectral imaging 610 $acrops 610 $aurban flood 610 $aSentinel-1a 610 $aSynthetic Aperture Radar (SAR) 610 $a3D Convolutional Neural Network 610 $amulti-temporal data 610 $aland use classification 610 $aGIS 610 $aCoatzacoalcos 610 $aalgorithms 610 $aclustering 610 $apest control 610 $asite-specific 610 $avirtual pests 610 $arice plant 610 $aweed 610 $ahyperspectral imagery 610 $asustainable agriculture 610 $agreen technologies 610 $aInternet of Things 610 $anatural resources 610 $asustainable environment 610 $aIoT ecosystem 610 $ahyperspectral remoting sensing 610 $acrop mapping 610 $aimage classification 610 $adeep transfer learning 610 $ahyperparameter optimization 610 $ametaheuristic 610 $asoil attribute 610 $aordinary Kriging 610 $arational sampling numbers 610 $aspatial heterogeneity 610 $asampling 610 $asoil pH 610 $aspatial variation 610 $aordinary kriging 610 $aLand Use/Land Cover 610 $aLISS-III 610 $aLandsat 610 $aVision Transformer 610 $aBidirectional long-short term memory 610 $aGoogle Earth Engine 610 $aExplainable Artificial Intelligence 615 7$aResearch & information: general 615 7$aGeography 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 $a9910619464803321 996 $aSustainable Agriculture and Advances of Remote Sensing (Volume 2)$93035370 997 $aUNINA