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Emerging Sensor Technology in Agriculture
Emerging Sensor Technology in Agriculture
Autore Fuentes Sigfredo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (240 p.)
Soggetto topico Geography
Research & information: general
Soggetto non controllato 3D crop modeling
acceleration sensor
adaptive thresholding
airflow field test
animal detection
apple orchards
artificial intelligence
artificial neural networks
bunch area
bunch volume
bushfires
capacitor sensor
CFD
Citrus sinensis L. Osbeck
cluster morphology
cocoa beans
colour thresholding
computer vision
crop growth
deep learning
deposit mass
depth images
ethylene gas detection
formulations
fruit detection
fruit ripeness
Gaussian processes
guar
image analysis
image processing
image segmentation
infrared
infrared thermography
ionization
Kinect sensor
leaf area index
logistic regression
machine learning
mechanical harvesting
mesh
modeling and simulation
monitoring method
n/a
near-infrared spectroscopy
non-invasive sensing technologies
on-ground sensing
parameter acquisition
parameter tuning
partial least square
pesticide droplets
phenomics
phenotype
phenotyping
pigeon pea
point cloud
pose estimation
precision livestock
precision viticulture
proximal sensing
remote sensing
RGB
RGB-D
smoke taint
soybean
spectral sensor
stress
support vector machine
surface reconstruction
tepary bean
Triticum aestivum
unmanned aerial vehicles
vibration time
VitiCanopy app
volatile compounds
water deficit
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295003321
Fuentes Sigfredo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment
Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment
Autore Fuentes Sigfredo
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (114 p.)
Soggetto topico Biology, life sciences
Research & information: general
Technology, engineering, agriculture
Soggetto non controllato artificial neural networks
avocado
botanical origin
classification
consumer acceptance prediction
consumer science
cultivars
data fusion
deep learning
emotion recognition
facial expression recognition
flavor lexicon
galvanic skin response
long short-term memory
machine learning
machine learning modeling
n/a
natural language processing
near infra-red spectroscopy
neural networks
physicochemical measurements
physicochemical parameters
preference mapping
sensory
sensory analysis
sensory descriptive analysis
sensory evaluation
sensory science
unifloral honeys
weather
wine quality
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566478503321
Fuentes Sigfredo  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems / / Sigfredo Fuentes, [and three others]
Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems / / Sigfredo Fuentes, [and three others]
Autore Fuentes Sigfredo
Pubbl/distr/stampa Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Descrizione fisica 1 online resource (206 pages)
Disciplina 006.3
Soggetto topico Artificial Intelligence
Sensor networks
Agriculture
Forests and forestry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674031003321
Fuentes Sigfredo  
Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui