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Advances in Near Infrared Spectroscopy and Related Computational Methods
| Advances in Near Infrared Spectroscopy and Related Computational Methods |
| Autore | Bec Krzysztof B |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (496 p.) |
| Soggetto non controllato |
pocket-sized spectrometer
standard germination tests total hydroxycinnamic derivatives hyperspectral image quantitative analysis modeling tissue chemotherapy FTIR spectroscopy cheese biomeasurements chemometrics affine invariance rapid identification biodiagnosis bioanalytical applications fat NIRS pixel-wise paraffin-embedded late preterm maize kernel photonics hyperspectral image processing image processing colorectal cancer test set validation deep convolutional neural network near-infrared fluorescence classification variety discrimination near-infrared hyperspectral imaging ensemble learning light origin traceability Paris polyphylla var. yunnanensis Fourier transform mid-infrared spectroscopy dry matter Fourier transform infrared spectroscopy hyperspectral imaging FT-NIR spectroscopy proximal sensing perfusion measurements near-infrared spectroscopy stained carotenoids cellular imaging perturbation direct model transferability clinical classifications counterfeit and substandard pharmaceuticals hyperspectral imaging technology spectral imaging SVM nutritional parameters extra virgin olive oil ethanol osteopathy living cells object-wise water-mirror approach Chrysanthemum bootstrapping soft shrinkage FTIR PLS-R multivariate data analysis combination bands binary dragonfly algorithm geographical origin Vitis vinifera L. glucose detection di-(2-picolyl)amine non-destructive sensor splanchnic adulteration animal origin melamine artemether MicroNIR™ brain fluorescent probes Folin-Ciocalteu SCiO support vector machine anharmonic quantum mechanical calculations PLSR Zn(II) RMSEP overtones blackberries pasta/sauce blends FT-IR partial least squares calibration partial least squares (PLS) auxiliary diagnosis handheld near-infrared spectroscopy precision viticulture partial least squares seeds vitality freeze-damaged near infrared discriminant analysis corn seed quantum chemical calculation anharmonic calculation Trichosanthis Fructus moisture analytical spectroscopy Raman spectroscopy NIR spectroscopy calibration transfer imaging water lumefantrine BRAF V600E mutation wavelength selection bone cancer imaging visualization near infrared spectroscopy raisins chemometric techniques data fusion prepared slices Ewing sarcoma biomonitoring Rubus fructicosus VIS/NIR hyperspectral imaging combinations bands quantitative analysis model partial least square regression DFT calculations TreeBagger antimalarial tablets accelerated aging agriculture crude drugs spectroscopy rice seeds PLS isotopic substitution multivariate calibration phytoextraction Fourier-transform near-infrared spectroscopy phenolics deparaffinized near-infrared (NIR) spectroscopy SIMCA counter propagation artificial neural network fructose PLS-DA ultra-high performance liquid chromatography aquaphotomics support vector machine-discriminant analysis hier-SVM DNA NIR support vector machine model API principal component analysis |
| ISBN | 3-03928-053-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372786503321 |
Bec Krzysztof B
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Remote Sensing of Agriculture and Vegetation
| Hyperspectral Remote Sensing of Agriculture and Vegetation |
| Autore | Pascucci Simone |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (266 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
hyperspectral LiDAR
Red Edge AOTF vegetation parameters leaf chlorophyll content DLARI MDATT adaxial abaxial spectral reflectance peanut field spectroscopy hyperspectral heavy metals grapevine PLS SVM MLR multi-angle observation hyperspectral remote sensing BRDF vegetation classification object-oriented segmentation spectroscopy artificial intelligence proximal sensing data precision agriculture spectra vegetation plant classification discrimination feature selection waveband selection support vector machine random forest Natura 2000 invasive species expansive species biodiversity proximal sensor macronutrient micronutrient remote sensing hyperspectral imaging platforms and sensors analytical methods crop properties soil characteristics classification of agricultural features canopy spectra chlorophyll content continuous wavelet transform (CWT) correlation coefficient partial least square regression (PLSR) reproducibility replicability partial least squares Ethiopia Eragrostis tef hyperspectral remote sensing for soil and crops in agriculture hyperspectral imaging for vegetation plant traits high-resolution spectroscopy for agricultural soils and vegetation hyperspectral databases for agricultural soils and vegetation hyperspectral data as input for modelling soil, crop, and vegetation product validation new hyperspectral technologies future hyperspectral missions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557691803321 |
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Pascucci Simone
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management
| 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 |
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Miao Yuxin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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