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Bioprocess Monitoring and Control
Bioprocess Monitoring and Control
Autore Hitzmann Bernd
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (234 p.)
Soggetto topico Research & information: general
Biology, life sciences
Soggetto non controllato bioenvironmental control
model-predictive controller
zonal controlling
dynamic modelling
flotation
bioleaching
frother
mixed culture
machine learning
Raman spectroscopy
downstream processing
chromatography
flow cell
extended Kalman filter
biotechnological processes
bioreactor control
specific growth rate control
batch-to-batch reproducibility
thermal sensation
thermal comfort
machine-learning
prediction
adaptive controlling
thermal growth curve
temperature modeling
thermoregulation
monitoring and control
bioprocess engineering
calorimetry
biocontrol agent
Bacillus subtilis natto
isolation
molecular identification
medium optimization
antimicrobial activity
bactericides
spectral analyses
biological selenate reduction
electron donor competition
nitrate
perchlorate
sequencing batch
Pseudomonas
siderophores
antagonism
batch fermentation
exponential fed-batch fermentation
bio-friendly formulations
biocontrol
nonlinear state estimation
geometric observer
bioreactor
continuous system
model-based sensor
well-defined macromolecules
sequence-defined macromolecules
sequence-defined polymers
conjugated oligomers
oligo(arylene ethynylene)s
biosensors
sensors
process monitoring
bioprocess monitoring and control
signal noise management
dielectric spectroscopy
PAT
microbial bioprocessing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557110303321
Hitzmann Bernd  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
Autore Sanchez Juanma Lopez
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (334 p.)
Soggetto non controllato artificial neural network
downscaling
simulation
3D point cloud
European beech
consistency
adaptive threshold
evaluation
photosynthesis
geographic information system
P-band PolInSAR
validation
density-based clustering
structure from motion (SfM)
EPIC
Tanzania
signal attenuation
trunk
canopy closure
REDD+
unmanned aerial vehicle (UAV)
forest
recursive feature elimination
Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR)
aboveground biomass
random forest
uncertainty
household survey
spectral information
forests biomass
root biomass
biomass
unmanned aerial vehicle
Brazilian Amazon
VIIRS
global positioning system
LAI
photochemical reflectance index (PRI)
allometric scaling and resource limitation
R690/R630
modelling aboveground biomass
leaf area index
forest degradation
spectral analyses
terrestrial laser scanning
BAAPA
leaf area index (LAI)
stem volume estimation
tomographic profiles
polarization coherence tomography (PCT)
canopy gap fraction
automated classification
HemiView
remote sensing
multisource remote sensing
Pléiades imagery
photogrammetric point cloud
farm types
terrestrial LiDAR
altitude
RapidEye
forest aboveground biomass
recovery
southern U.S. forests
NDVI
machine-learning
conifer forest
satellite
chlorophyll fluorescence (ChlF)
tree heights
phenology
point cloud
local maxima
clumping index
MODIS
digital aerial photograph
Mediterranean
hemispherical sky-oriented photo
managed temperate coniferous forests
fixed tree window size
drought
GLAS
smartphone-based method
forest above ground biomass (AGB)
forest inventory
over and understory cover
sampling design
ISBN 3-03921-240-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Remote Sensing of Leaf Area Index
Record Nr. UNINA-9910367563203321
Sanchez Juanma Lopez  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui