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Sustainable Agriculture and Soil Conservation
Sustainable Agriculture and Soil Conservation
Autore Gattullo Concetta Eliana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (191 p.)
Soggetto topico Research & information: general
Soggetto non controllato Tungsten
corn uptake
soil characteristics
Freundlich model
Biolog®
community-level physiological profiling (CLPP)
functional diversity indices
metabolic bacterial diversity
olive
soil fertility
soil quality
maize
stomata
soil
phenanthrene
remediation
qualitative multi-attribute model
total energy output
agro-ecological service crops
ex-post sustainability
organic systems
amendment
biochar
brewers’ spent grain
hop
image analysis
plant growth
Beerkan method
infiltration
forest restoration
soil water repellency
tillage
fertilization
soil depth
organic carbon
clay minerals
diffuse reflectance
infrared Fourier transform spectroscopy
bioremediation
composting
PAHs
organic co-substrates
mulching
flattening
irrigation
photosynthesis
transpiration
water stress integral
fruit growth
water use efficiency
productivity
soil organic matter
near-infrared spectroscopy
spatial heterogeneity
multivariate adaptive regression splines
partial least squares regression
anaerobic digestion residues
soil amendment
soil fertilization
soil organic C
soil porosity
soil microbial community
copper
rhizosphere
smart agriculture
microbes
vineyard
organic agriculture
soil organic carbon
soil management
soil contamination
soil remediation
sustainable fruit growing
water conservation practices
multivariate statistical models for SOC prediction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557349603321
Gattullo Concetta Eliana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sustainable Production in Food and Agriculture Engineering
Sustainable Production in Food and Agriculture Engineering
Autore Krolczyk Jolanta B
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (412 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato 3D scanner
geometric model
reverse engineering
fruit
cucumber
sustainable production
screw press
basket press
polyphenols
antioxidant activity
texture properties
GLOBAL G.A.P.
GRASP
quality management systems
certification
primary production
social practice
juice
barley
pressing
protein
chlorophylls
green food
nutritional value
brassica vegetables
antioxidative properties
quality of food
nitrates and nitrites
frozen storage
processing of vegetables
agricultural product
price
modeling
management
grinding
organic dust
sustainable agriculture
accelerator
axisymmetric surface
general equation of dynamics
non-inertial reference frame
biochar
biological soil quality
Collembola life-form groups
QBS-c index
grain grinding
rotary–centrifugal grinder
construction optimization criteria
soil fertility
integrated agricultural production
conventional agricultural production
cold-pressed oils
functional food
oxidative stability
rapeseed oil
Spanish sage seed oil
cress seed oil
probiotic
non-dairy beverages
survivability
fermentation
bacteria
coconut
hemp
sustainable food production
biomass
agricultural biogas plants
agricultural waste
sustainable and renewable energy
organic residue management
Poland
flat fan nozzle
liquid coverage
coefficient of variation (CV)
crop yields
packaging
biodegradable material
lyophilized protein structure
bootstrap methods
confidence intervals
lognormal distribution
sprayer
droplet diameters
wheat
stress relaxation
Initial load
Peleg and Normand
compression
spelt
threshing
dehuller
legumes
infrared processing
acceleration of the process of hydration
Peleg’s equation
rice
compressive strength
rupture energy
potato
tuber
storage losses
UV-C
forage from grain
cereal grain
energy consumption
pumpkin
Cucurbita maxima
antioxidative activity
Oxygen Radical Absorbance Capacity (ORAC)
cluster analysis
microbiological analysis
structure
implications for practice
mixing of granular materials
fluorescence
tracer
industrial feed
image analysis
press cakes
compaction
disposal
sustainable development
modern products
animal waste
biogas
dairy cattle farms
energy potential
waste management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557102603321
Krolczyk Jolanta B  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Systems Radiology and Personalized Medicine
Systems Radiology and Personalized Medicine
Autore de Jong Pim A
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (180 p.)
Soggetto topico Medicine
Soggetto non controllato COVID-19
chest X-ray
deep learning
convolutional neural network
Grad-CAM
computed tomography
image analysis
osteoarthritis
reliability
FDG-PET/CT
infection
bloodstream infection
endocarditis
vascular graft infection
spondylodiscitis
cyst infection
white blood cell scintigraphy
total body PET/CT
radiotracers
artificial intelligence
contrast media
body composition
large vessel vasculitis
atherosclerosis
imaging
FDG-PET
radiological imaging
MRI
non-contrast
venography
TRANCE
QFlow
neuroblastoma
nuclear medicine
radionuclide imaging
[123I]mIBG
[124I]mIBG
[18F]mFBG
[18F]FDG
[68Ga]Ga-DOTA peptides
[18F]F-DOPA
[11C]mHED
chronic limb-threatening ischemia
peripheral arterial disease
calcification pattern
diffuse idiopathic skeletal hyperostosis
risk factors
adiposity
intra-abdominal fat
cardiorenal syndrome
imaging biomarker
tissue characterization
cerebral aneurysm
computational fluid dynamics
hemodynamic
morphological
rupture
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557748903321
de Jong Pim A  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Texture and Colour in Image Analysis
Texture and Colour in Image Analysis
Autore Bianconi Francesco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (278 p.)
Soggetto topico Information technology industries
Soggetto non controllato Machine vision
image analysis
item counting device
electro-deposition industry
digital intraoral radiography
image preprocessing
periapical lesions
texture analysis
prostate cancer
histopathology
microscopic
tissue image
segmentation
morphological
quantitative
classification
SVM
image resizing
local Tchebichef moments (LTM)
scaling
scale-and-stretch
seam carving
faster R-CNN
cutting pieces
multi-period pattern
skew angle
period length
colored texture pattern classification
global-local texture classification
color-texture features
color-texture feature extraction
bagging post-processing
BQMP and Haralick global-local feature integration
maceral components
image segmentation
coal petrography
random forest
two-level clustering
deep neural networks
adaptive gradient methods
stochastic gradient descent
bounded scheduling method
image classification
language modeling
texture
deep learning
MB-LBP
surface defect detection
feature extraction
defect recognition
mammogram
meta-heuristics
optimization
breast cancer
detection
skin microrelief
water sorption
aging
hair
mathematics of colour and texture
hand-designed image descriptors
rank features
partial orders
river scene segmentation
local binary pattern
hue variance
surface reflection
audio classification
dissimilarity space
siamese network
ensemble of classifiers
pattern recognition
animal audio
co-saliency
omnidirectional images
video saliency
visual saliency estimation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557518003321
Bianconi Francesco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Towards New Promising Discoveries for Lung Cancer Patients: A Selection of Papers from the First Joint Meeting on Lung Cancer of the FHU OncoAge (Nice, France) and the MD Anderson Cancer Center (Houston, TX, USA)
Towards New Promising Discoveries for Lung Cancer Patients: A Selection of Papers from the First Joint Meeting on Lung Cancer of the FHU OncoAge (Nice, France) and the MD Anderson Cancer Center (Houston, TX, USA)
Autore Hofman Paul
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (230 p.)
Soggetto non controllato microRNAs
multiplexed
screening
education
non-smoker
image analysis
artificial intelligence
research
lung cancer
spatial analysis
optimization
fluorescence
geriatric assessment
geriatric interventions
TNBC
liquid biopsy
non-small cell lung cancer
integrated approaches
well-being
hormone-like action
EGFR mutations
reversal of EMT
tumor plasticity
immune profiling
macrophage
multiplexed methodologies
targeted treatment
techniques
immune-oncology
bioinformatics
MALAT1
long non-coding RNAs
CD8 T Cells
personal medicine
EGFR TKIs
lncRNA
hormones
elderly
interleukin-1? and immunometabolism
chromogenic
xenograft
metastasis
PD-1/PD-L1 checkpoint blockade
immunotherapy
molecular
cancer tissues
digital
NSCLC
immune blockade
lung adenocarcinoma
circulating tumor cells
brightfield
non-coding RNAs
older adults
cancer
tumor microenvironment
aging
rational therapy
ISBN 3-03921-452-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Towards New Promising Discoveries for Lung Cancer Patients
Record Nr. UNINA-9910367760103321
Hofman Paul  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
UAVs for Vegetation Monitoring
UAVs for Vegetation Monitoring
Autore de Castro Megías Ana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (452 p.)
Soggetto topico Research & information: general
Soggetto non controllato UAS
UAV
vegetation cover
multispectral
land cover
forest
Acacia
Indonesia
tropics
vegetation ground cover
vegetation indices
agro-environmental measures
olive groves
southern Spain
sUAS
water stress
ornamental
container-grown
artificial intelligence
machine learning
deep learning
neural network
visual recognition
precision agriculture
canopy cover
image analysis
crop mapping
evapotranspiration (ET)
GRAPEX
remote sensing
Two Source Energy Balance model (TSEB)
contextual spatial domain/resolution
data aggregation
eddy covariance (EC)
Fusarium wilt
crop disease
banana
multispectral remote sensing
purple rapeseed leaves
unmanned aerial vehicle
U-Net
plant segmentation
nitrogen stress
Glycine max
RGB
canopy height
close remote sensing
growth model
curve fitting
NDVI
solar zenith angle
flight altitude
time of day
operating parameters
CNN
Faster RCNN
SSD
Inception v2
patch-based CNN
MobileNet v2
detection performance
inference time
disease detection
cotton root rot
plant-level
single-plant
plant-by-plant
classification
UAV remote sensing
crop monitoring
RGB imagery
multispectral imagery
century-old biochar
semantic segmentation
random forest
crop canopy
multispectral image
chlorophyll content
remote sensing technique
individual plant segmentation
plant detection
transfer learning
maize tassel
tassel branch number
convolution neural network
VGG16
plant nitrogen estimation
vegetation index
image segmentation
transpiration
method comparison
oil palm
multiple linear regression
support vector machine
artificial neural network
UAV hyperspectral
wheat yellow rust
disease monitoring
texture
spatial resolution
RGB camera
thermal camera
drought tolerance
forage grass
HSV
CIELab
broad-sense heritability
phenotyping gap
high throughput field phenotyping
UAV digital images
winter wheat biomass
multiscale textures
red-edge spectra
least squares support vector machine
variable importance
drone
hyperspectral
thermal
nutrient deficiency
weed detection
disease diagnosis
plant trails
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557661103321
de Castro Megías Ana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui