Artificial Neural Networks and Evolutionary Computation in Remote Sensing |
Autore | Kavzoglu Taskin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (256 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
convolutional neural network
image segmentation multi-scale feature fusion semantic features Gaofen 6 aerial images land-use Tai’an convolutional neural networks (CNNs) feature fusion ship detection optical remote sensing images end-to-end detection transfer learning remote sensing single shot multi-box detector (SSD) You Look Only Once-v3 (YOLO-v3) Faster RCNN statistical features Gaofen-2 imagery winter wheat post-processing spatial distribution Feicheng China light detection and ranging LiDAR deep learning convolutional neural networks CNNs mask regional-convolutional neural networks mask R-CNN digital terrain analysis resource extraction hyperspectral image classification few-shot learning quadruplet loss dense network dilated convolutional network artificial neural networks classification superstructure optimization mixed-inter nonlinear programming hyperspectral images super-resolution SRGAN model generalization image downscaling mixed forest multi-label segmentation semantic segmentation unmanned aerial vehicles classification ensemble machine learning Sentinel-2 geographic information system (GIS) earth observation on-board microsat mission nanosat AI on the edge CNN |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557148403321 |
Kavzoglu Taskin
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks in Agriculture |
Autore | Kujawa Sebastian |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (283 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
Soggetto non controllato |
artificial neural network (ANN)
Grain weevil identification neural modelling classification winter wheat grain artificial neural network ferulic acid deoxynivalenol nivalenol MLP network sensitivity analysis precision agriculture machine learning similarity metric memory deep learning plant growth dynamic response root zone temperature dynamic model NARX neural networks hydroponics vegetation indices UAV neural network corn plant density corn canopy cover yield prediction CLQ GA-BPNN GPP-driven spectral model rice phenology EBK correlation filter crop yield prediction hybrid feature extraction recursive feature elimination wrapper artificial neural networks big data classification high-throughput phenotyping modeling predicting time series forecasting soybean food production paddy rice mapping dynamic time warping LSTM weakly supervised learning cropland mapping apparent soil electrical conductivity (ECa) magnetic susceptibility (MS) EM38 neural networks Phoenix dactylifera L. Medjool dates image classification convolutional neural networks transfer learning average degree of coverage coverage unevenness coefficient optimization high-resolution imagery oil palm tree CNN Faster-RCNN image identification agroecology weeds yield gap environment health crop models soil and plant nutrition automated harvesting model application for sustainable agriculture remote sensing for agriculture decision supporting systems neural image analysis |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557509803321 |
Kujawa Sebastian
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Fusarium : Mycotoxins, Taxonomy and Pathogenicity |
Autore | Stępień Łukasz |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
Soggetto non controllato |
Fusarium head blight
Fusarium species soil minerals mycotoxins organic farming sowing value winter wheat Maize Fusarium monitoring forage silage maize ear rot nivalenol fumonisins flax Fusarium oxysporum pathogenic and non-pathogenic strains sensitization DNA methylation PR genes ear rot maize FUM1 pathogenicity virulence Fusarium graminearum next-generation sequencing proteomics photobiology transcription factor White collar complex Fusarium asiaticum colonization endophyte Fo47 wilt disease fusarium LC-MS/MS mycotoxin occurrence wheat trichothecene NF-κB intestinal inflammation combinatory effects food safety resistance expression aggressiveness F. graminearum F. culmorum isolate effect disease index Fusarium-damaged kernel deoxynivalenol susceptibility window inoculation time and FHB response keratomycosis onychomycosis horizontal cross-kingdom disease index (DI) fusarium damaged kernels (FDK) deoxynivalenol (DON) host-pathogen relations phenotyping FHB Cereals silo fungi modelling 3D colonisation respiration ergosterol zearalenone trichothecenes |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Fusarium |
Record Nr. | UNINA-9910557660703321 |
Stępień Łukasz
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management |
Autore | Miao Yuxin |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (602 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
UAS
multiple sensors vegetation index leaf nitrogen accumulation plant nitrogen accumulation pasture quality airborne hyperspectral imaging random forest regression sun-induced chlorophyll fluorescence (SIF) SIF yield indices upward downward leaf nitrogen concentration (LNC) wheat (Triticum aestivum L.) laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics canopy nitrogen density radiative transfer model hyperspectral winter wheat flooded rice pig slurry aerial remote sensing vegetation indices N recommendation approach Mediterranean conditions nitrogen vertical distribution plant geometry remote sensing maize UAV multispectral imagery LNC non-parametric regression red-edge NDRE dynamic change model sigmoid curve grain yield prediction leaf chlorophyll content red-edge reflectance spectral index precision N fertilization chlorophyll meter NDVI NNI canopy reflectance sensing N mineralization farmyard manures Triticum aestivum discrete wavelet transform partial least squares hyper-spectra rice nitrogen management reflectance index multiple variable linear regression Lasso model Multiplex®3 sensor nitrogen balance index nitrogen nutrition index nitrogen status diagnosis precision nitrogen management terrestrial laser scanning spectrometer plant height biomass nitrogen concentration precision agriculture unmanned aerial vehicle (UAV) digital camera leaf chlorophyll concentration portable chlorophyll meter crop PROSPECT-D sensitivity analysis UAV multispectral imagery spectral vegetation indices machine learning plant nutrition canopy spectrum non-destructive nitrogen status diagnosis drone multispectral camera SPAD smartphone photography fixed-wing UAV remote sensing random forest canopy reflectance crop N status Capsicum annuum proximal optical sensors Dualex sensor leaf position proximal sensing cross-validation feature selection hyperparameter tuning image processing image segmentation nitrogen fertilizer recommendation supervised regression RapidSCAN sensor nitrogen recommendation algorithm in-season nitrogen management nitrogen use efficiency yield potential yield responsiveness standard normal variate (SNV) continuous wavelet transform (CWT) wavelet features optimization competitive adaptive reweighted sampling (CARS) partial least square (PLS) grapevine hyperparameter optimization multispectral imaging precision viticulture RGB multispectral coverage adjusted spectral index vegetation coverage random frog algorithm active canopy sensing integrated sensing system discrete NIR spectral band data soil total nitrogen concentration moisture absorption correction index particle size correction index coupled elimination |
ISBN | 3-0365-5710-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637794503321 |
Miao Yuxin
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Agriculture: State-of-the-Art |
Autore | Borgogno-Mondino Enrico |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (220 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
feature selection
spectral angle mapper support vector machine support vector regression hyperspectral imaging UAV cross-scale yellow rust spatial resolution winter wheat MODIS northern Mongolia remote sensing indices spring wheat yield estimation UAV-based LiDAR biomass crop height field phenotyping oasis crop type mapping Sentinel-1 and 2 integration statistically homogeneous pixels (SHPs) red-edge spectral bands and indices recursive feature increment (RFI) random forest (RF) unmanned aerial vehicles (UAVs) remote sensing (RS) thermal UAV RS thermal infrared (TIR) precision agriculture (PA) crop water stress monitoring plant disease detection vegetation status monitoring Landsat data blending crop yield prediction gap-filling volumetric soil moisture synthetic aperture radar (SAR) Sentinel-1 soil moisture semi-empirical model soil moisture Karnataka India reflectance digital number (DN) vegetation index (VI) Parrot Sequoia (Sequoia) DJI Phantom 4 Multispectral (P4M) Synthetic Aperture Radar SAR lodging Hidden Markov Random Field HMRF CDL corn soybean crop Monitoring crop management apple orchard damage polarimetric decomposition entropy anisotropy alpha angle storm damage mapping economic loss insurance support |
ISBN | 3-0365-5484-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Remote Sensing in Agriculture |
Record Nr. | UNINA-9910637779903321 |
Borgogno-Mondino Enrico
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Above Ground Biomass / Lalit Kumar, Onisimo Mutanga |
Autore | Kumar Lalit |
Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
Descrizione fisica | 1 electronic resource (264 p.) |
Soggetto non controllato |
NDLMA
multi-angle remote sensing TerraSAR-X above ground biomass stem volume regression analysis ground-based remote sensing sensor fusion pasture biomass grazing management livestock mixed forest SPLSR estimation accuracy Bidirectional Reflectance Distribution Factor forage crops Land Surface Phenology climate change vegetation index dry biomass mapping rangeland productivity vegetation indices error analysis broadleaves remote sensing applicability evaluation ultrasonic sensor chlorophyll index alpine meadow grassland forest biomass anthropogenic disturbance fractional vegetation cover alpine grassland conservation carbon mitigation conifer short grass grazing exclusion MODIS time series random forest aboveground biomass NDVI AquaCrop model inversion model wetlands field spectrometry spectral index yield foliage projective cover lidar correlation coefficient Sahel biomass dry matter index Niger Landsat grass biomass particle swarm optimization winter wheat carbon inventory rice forest structure information MODIS light detection and ranging (LiDAR) ALOS2 ecological policies above-ground biomass Wambiana grazing trial food security forest above ground biomass (AGB) Atriplex nummularia regional sustainability CIRed-edge |
ISBN |
9783039212101
3039212109 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367567003321 |
Kumar Lalit
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Basel, Switzerland : , : MDPI, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of the Terrestrial Hydrologic Cycle |
Autore | Tang Qiuhong |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (260 p.) |
Soggetto topico |
Research & information: general
Geography |
Soggetto non controllato |
hydrological cycle
Three-North region climate change land cover change Variable Infiltration Capacity (VIC) model evapotranspiration runoff soil moisture three-temperature model infrared remote sensing urban hedges cooling effects irrigation mapping remote sensing random forest subhumid region dry-wet regime vegetation dynamics GLDAS GIMMS Yarlung Zangbo River Microwave emissivity difference vegetation index (EDVI) evapotranspiration (ET) satellite remote sensing cloudy sky clouds and earth's radiation energy system (CERES) ChinaFLUX precipitation classification K-nearest neighbor Doppler radar Tropical Precipitation Measurement Mission (TRMM) irrigation signal SMAP irrigation intensity winter wheat precipitation evaluation error analysis Fengyun quantitative precipitation estimates GPM IMERG deep learning Daihai Lake Huangqihai Lake lake degradation weather radar quantitative precipitation estimation rain gauge radar-rain gauge merging leave-one-out cross validation verification China exorheic catchments water balance GRACE terrestrial water storage changes reservoir storage MODIS SRTM |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557581803321 |
Tang Qiuhong
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Site-Specific Nutrient Management |
Autore | Grzebisz Witold |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (224 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
Soggetto non controllato |
Triticum aestivum L.
farmyard manure mineral fertilizers crude protein content soil properties, site-specific requirements yield site-specific nitrogen management regional optimal nitrogen management net return nitrogen use efficiency spatial variability temporal variability seed density N uptake indices of N productivity mineral N indigenous Nmin at spring post-harvest Nmin N balance N efficiency maximum photochemical efficiency of photosystem II chlorophyll content index soil enzymatic activity biological index fertility nitrogenase activity microelements fertilization (Ti Si B Mo Zn) soil nitrate nitrogen content contents of available phosphorus potassium magnesium calcium cardinal stages of WOSR growth PCA site-specific nutrient management soil brightness satellite remote sensing crop yield soil fertility winter wheat winter triticale vegetation indices NDVI grain yield number of spikes economics normalized difference vegetation index (NDVI) on-the-go sensors winter oilseed rape → winter triticale cropping sequence N input N total uptake N gap Beta vulgaris L. organic manure weather conditions soil chemistry sugar concentration climatic potential yield yield gap soil constraints subsoil remote sensing-techniques field a field crop production sustainability homogenous productivity units nitrogen indicators: in-season spatial vertical variability of N demand and supply spectral imagery |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566459003321 |
Grzebisz Witold
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Weed Ecology and New Approaches for Management |
Autore | Kocira Anna |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (286 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
Soggetto non controllato |
chamomile
organic system bioproducts seeding density quantitative weed infestation indicators weed species fungal diseases camelina herbicides genetic similarity phytotoxicity formulation plant chlorophyll fluorescence reduced tillage no-till ploughing winter wheat weeds seed bank invasive weed species Glycine max (L.) Merr cropping system tillage system weed infestation biological diversity spelt wheat cultivars crop protection methods seeding rate yield fungi mycotoxins dose-response enzyme activity herbicide resistance shikimic acid slender amaranth early potato production polypropylene agrotextile polyethylene sheeting mechanical weed control chemical weed control potato cultivars legume cover crop weed control organic matter nitrogen soil physical and biological properties soil erosion exotic Tamarix riparian zone biodiversity richness diversity evenness biodiversity indicators weed organic farming low-input conventional farming Shannon's index Simpson's index potato biodiversity of weeds mechanical method chemical method monocotyledonous weeds dicotyledonous weeds lupin yielding cultivation intensification production cost segetal flora weed quantity weed mass grain species legume Salix viminalis L. crops energy crops dynamic of flora age of plantation willow plantation invasive species medicinal species melliferous species |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557405403321 |
Kocira Anna
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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