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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 electronic resource (240 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato apple orchards
modeling and simulation
unmanned aerial vehicles
fruit ripeness
ethylene gas detection
3D crop modeling
remote sensing
on-ground sensing
depth images
parameter acquisition
capacitor sensor
deposit mass
pesticide droplets
formulations
ionization
CFD
airflow field test
monitoring method
spectral sensor
crop growth
computer vision
deep learning
image processing
pose estimation
animal detection
precision livestock
Citrus sinensis L. Osbeck
mechanical harvesting
acceleration sensor
vibration time
logistic regression
adaptive thresholding
fruit detection
parameter tuning
phenotype
phenotyping
phenomics
Triticum aestivum
water deficit
stress
infrared
leaf area index
cocoa beans
volatile compounds
artificial neural networks
VitiCanopy app
bushfires
infrared thermography
near-infrared spectroscopy
smoke taint
artificial intelligence
Kinect sensor
RGB
RGB-D
image segmentation
colour thresholding
bunch area
bunch volume
point cloud
mesh
surface reconstruction
image analysis
cluster morphology
machine learning
non-invasive sensing technologies
proximal sensing
precision viticulture
partial least square
support vector machine
Gaussian processes
soybean
pigeon pea
guar
tepary bean
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 electronic resource (114 p.)
Soggetto topico Research & information: general
Biology, life sciences
Technology, engineering, agriculture
Soggetto non controllato sensory
physicochemical measurements
artificial neural networks
near infra-red spectroscopy
wine quality
machine learning modeling
weather
consumer acceptance prediction
data fusion
emotion recognition
facial expression recognition
galvanic skin response
machine learning
neural networks
sensory analysis
avocado
cultivars
preference mapping
sensory evaluation
sensory descriptive analysis
consumer science
unifloral honeys
botanical origin
physicochemical parameters
classification
natural language processing
deep learning
sensory science
flavor lexicon
long short-term memory
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