Electronics, Close-Range Sensors and Artificial Intelligence in Forestry

The use of electronics, close-range sensing, and artificial intelligence has changed the management paradigm in many contemporary industries in which Big Data analytics by automated processes has become the backbone of decision making and improvement. Acknowledging the integration of electronics, de...

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Detalhes bibliográficos
Corporate Authors: Borz, Stelian Alexandru, Proto, Andrea R., Keefe, Robert, Nita, Mihai
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2022
Assuntos:
bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNA Primary industries::KNAL Forestry & related industries
forest fire detection
deep learning
ensemble learning
Yolov5
EfficientDet
EfficientNet
big data
automation
artificial intelligence
multi-modality
acceleration
classification
events
performance
motor-manual felling
willow
Romania
region detection of forest fire
grading of forest fire
weakly supervised loss
fine segmentation
region-refining segmentation
lightweight Faster R-CNN
ultrasound sensors
road scanner
terrestrial laser scanning
TLS
forest road maintenance
forest road monitoring
crowned road surface
digital twinning
climate smart
LiDAR
digitalization
forest loss
land-cover change
machine learning
spatial heterogeneity
random forest model
geographically weighted regression
aboveground biomass
estimation
remote sensing
Sentinel-2
Iran
multiple regression
artificial neural network
k-nearest neighbor
random forest
canopy
drone
leaf
leaves
foliar
samples
sampling
Aerial robotics
UAS
UAV
IoT
forest ecology
accessibility
wood
diameter
length
close-range sensing
Augmented Reality
comparison
accuracy
effectiveness
potential
forestry 4.0
wood technology
sawmilling
productivity
prediction
long-term
tree ring
forestry detection
resistance sensor
micro-drilling resistance method
signal processing
Signal-to-Noise Ratio (SNR)
n/a
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/95837
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