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Artificial Neural Networks and Evolutionary Computation in Remote Sensing
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Neural Networks in Agriculture
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fusarium : Mycotoxins, Taxonomy and Pathogenicity
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Miao Yuxin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing in Agriculture: State-of-the-Art
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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Above Ground Biomass
Remote Sensing of Above Ground Biomass
Autore Mutanga Onisimo
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 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 3-03921-210-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367567003321
Mutanga Onisimo  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of the Terrestrial Hydrologic Cycle
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Site-Specific Nutrient Management
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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Weed Ecology and New Approaches for Management
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui