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Keywords

• 3D reconstruction
• agricultural land
• Agriculture
• Ambient intelligence
• apparent soil electrical conductivity
• apple shelf-life
• area frame sampling
• Artificial Neural Networks
• back propagation model
• big data
• biological sensing
• birth sensor
• boron tolerance
• bovine embedded hardware
• Cameras
• Capsicum annuum
• CARS
• Case studies
• change of support
• chemometrics analysis
• chromium content
• CIE-Lab
• Classification
• clover-grass
• compound sensor
• Computer vision
• connected dominating set
• crop area
• crop inspection platform
• crop monitoring
• Data fusion
• data validation and calibration
• dataset
• deep convolutional neural networks
• deep learning
• Detection
• dielectric dispersion
• dielectric probe
• Diffusion
• Discrimination
• Diseases
• distributed systems
• dry matter composition
• drying temperature
• dynamic weight
• ECa-directed soil sampling
• Electrochemical sensors
• electromagnetic induction
• electronic nose
• energy balance
• Energy Efficiency
• event detection
• feature selection
• Field crops
• fluorescent measurement
• Fusarium
• Fuzzy logic
• gas sensor
• Genetic algorithms
• geo-information
• Geoinformatics
• geostatistics
• Germination
• GF-1 satellite
• gradient boosted machines
• grapevine breeding
• greenhouse
• handheld
• heavy metal contamination
• hulled barely
• hyperspectral camera
• hyperspectral imaging
• Irrigation
• Kinect
• land cover
• landslide
• laser wavelength
• laser-induced breakdown spectroscopy
• leaf area index
• LiDAR
• light-beam
• Machine learning
• machine-learning
• management zones
• mandarin orange
• meat spoilage
• mobile app
• moisture
• moisture content
• multivariate water quality parameters
• naked barley
• near infrared
• near infrared sensors
• near-infrared
• neural networks
• NIR hyperspectral imaging
• Nitrogen
• noninvasive detection
• object tracking
• obstacle detection
• on-line vis-NIR measurement
• one-class
• optical sensor
• packing density
• partial least squares-discriminant analysis
• pest
• pest management
• pest scouting
• photograph-grid method
• plant disease
• plant localization
• plant phenotyping
• PLS
• precision agriculture
• precision plant protection
• preprocessing methods
• processing of sensed data
• proximal sensor
• proximity sensing
• quality assessment
• Radar
• radiative transfer model
• random forests
• real-time processing
• recognition patterns
• regression estimator
• Remote sensing
• remote sensing image classification
• response surface sampling
• RGB-D sensor
• Rice
• rice field monitoring
• rice leaves
• RPAS
• salt concentration
• Salt tolerance
• Scattering
• semi-arid regions
• sensor
• sensor evaluation
• silage
• simultaneous measurement
• smart irrigation
• Soil
• soil mapping
• soil moisture sensors
• Soil salinity
• soil type classification
• SPA-MLR
• Spatial data
• spatial variability
• spatial-temporal model
• speckle
• spectral analysis
• spectral pre-processing
• spectroscopy
• spiking
• SS-OCT
• stereo imaging
• stratification
• striped stem-borer
• temperature sensors
• texture feature
• texture features
• thermal image
• thermal imaging
• time-series data
• total carbon
• total nitrogen
• UAS
• vegetable oil
• vegetation indices
• vine
• vineyard
• virtual organizations of agents
• visible and near-infrared reflectance spectroscopy
• Vitis vinifera
• water depth sensors
• water management
• water supply network
• weed control
• Weeds
• wheat
• Wi-SUN
• wide field view
• wireless sensor
• wireless sensor network
• wireless sensor network (WSN)
• wireless sensor networks (WSN)
• WSN distribution algorithms
• X-ray fluorescence spectroscopy

Links

DOI: 10.3390/books978-3-03897-745-2

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