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Smart Sensing Technologies for Agriculture

“Smart Sensing Technologies for Agriculture” is a Special Issue of Sensors that includes 14 research papers on diverse topics about the measurement of physical, chemical, and biological characteristics of soil, plants, and animals related to modern farming practices.

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Médium: Online
Jazyk:angličtina
Vydáno: MDPI - Multidisciplinary Digital Publishing Institute 2021
Témata:
moisture measurement
Kalman filter
model predictive control
germination paper
convolutional neural networks
livestock
lying posture
standing posture
Three-dimensional mapping
quasi-3D inversion algorithm
cation exchange capacity
clay content
sandy infertile soil
optical micro-sensors
crop protection
precision agriculture
infrared spectroscopy
principal component analysis (PCA)
partial least squares (PLS)
droplet characterization
apparent electrical conductivity (ECa)
pH
UAV
boundary-line
quantile regression
law of minimum
on-site detection
ion-selective electrode (ISE)
soil nitrate nitrogen (NO3−-N)
soil moisture
sensor fusion
transfer learning
deep learning
body dimensions
point cloud
Kd-network
feature recognition
FFPH
non-contact measurement
X-ray fluorescence
spectroscopy
soil nutrients
proximal soil sensing
soil testing
laser-induced breakdown spectroscopy
LIBS
elemental composition
broiler surface temperature extraction
thermal image processing
head region locating
adaptive K-means
ellipse fitting
harvesting robot
gripper
segmentation
cutting point detection
soil
soil electrical resistivity
autonomous robot
real-time measurement
precision farming
mapping
precision weeding
multispectral imaging
kinetic stereo imaging
plant detection
yield estimation
machine vision
willow tree
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
On-line přístup:ONIX_20210501_9783039366880_700
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