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Sustainable Agriculture and Advances of Remote Sensing (Volume 1)



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Autore: Paraforos Dimitrios Visualizza persona
Titolo: Sustainable Agriculture and Advances of Remote Sensing (Volume 1) Visualizza cluster
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 electronic resource (324 p.)
Soggetto topico: Research & information: general
Geography
Soggetto non controllato: geographic information system (GIS)
pocket beaches
coastal management
Interreg
climate change
remote sensing
drone
Sicily
Malta
Gozo
Comino
systematic literature review
anomaly intrusion detection
deep learning
IoT
resource constraint
IDS
evapotranspiration
penman-monteith equation
artificial neural network
canopy conductance
Ziz basin
water quality
satellite image analysis
modeling approach
nitrate
dissolved oxygen
chlorophyll a
time series analysis
environmental monitoring
water extraction
modified normalized difference water index (MNDWI)
machine learning algorithm
hyperspectral
proximal sensing
panicle initiation
normalized difference vegetation index (NDVI)
green ring
internode-elongation
Sentinel 1 and 2
Copernicus Sentinels
crop classification
food security
agricultural monitoring
data analysis
SAR
random forest
3D bale wrapping method
equal bale dimensions
mathematical model
minimal film consumption
optimal bale dimensions
round bales
Sentinel-2
SVM
RF
Boufakrane River watershed
irrigation requirements
water resources
sustainable land use
agriculture
invasive plants
precision agriculture
rice farming
site-specific weed management
nitrogen prediction
1D convolution neural networks
cucumber
crop yield improvement
mango leaf
CCA
vein pattern
leaf disease
cubic SVM
chlorophyll-a concentration
transfer learning
overfitting
data augmentation
guava disease
plant disease detection
crops diseases
entropy
features fusion
machine learning
object-based classification
density estimation
histogram
land use
crop fields
soil tillage
data fusion
multispectral
sensor
probe
temperature profile
forest roads
simulation
autonomous robots
smart agriculture
environmental protection
photogrammetry
path planning
internet of things
modeling
convolutional neural networks
machine vision
computer vision
modular robot
selective spraying
vision-based crop and weed detection
Faster R-CNN
YOLOv5
band selection
CNN
NDVI
hyperspectral imaging
crops
urban flood
Sentinel-1a
Synthetic Aperture Radar (SAR)
3D Convolutional Neural Network
multi-temporal data
land use classification
GIS
Coatzacoalcos
algorithms
clustering
pest control
site-specific
virtual pests
rice plant
weed
hyperspectral imagery
sustainable agriculture
green technologies
Internet of Things
natural resources
sustainable environment
IoT ecosystem
hyperspectral remoting sensing
crop mapping
image classification
deep transfer learning
hyperparameter optimization
metaheuristic
soil attribute
ordinary Kriging
rational sampling numbers
spatial heterogeneity
sampling
soil pH
spatial variation
ordinary kriging
Land Use/Land Cover
LISS-III
Landsat
Vision Transformer
Bidirectional long-short term memory
Google Earth Engine
Explainable Artificial Intelligence
Persona (resp. second.): MuzirafutiAnselme
RandazzoGiovanni
LanzaStefania
ParaforosDimitrios
Sommario/riassunto: Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publishing the results, among others.
Altri titoli varianti: Sustainable Agriculture and Advances of Remote Sensing
Titolo autorizzato: Sustainable Agriculture and Advances of Remote Sensing (Volume 1)  Visualizza cluster
ISBN: 3-0365-5338-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910619464703321
Lo trovi qui: Univ. Federico II
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