Smart Sensing Technologies for Agriculture

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.

Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
History of engineering and technology
adaptive K-means
apparent electrical conductivity (ECa)
autonomous robot
body dimensions
boundary-line
broiler surface temperature extraction
cation exchange capacity
clay content
convolutional neural networks
crop protection
cutting point detection
deep learning
droplet characterization
elemental composition
ellipse fitting
feature recognition
FFPH
germination paper
gripper
harvesting robot
head region locating
infrared spectroscopy
ion-selective electrode (ISE)
Kalman filter
Kd-network
kinetic stereo imaging
laser-induced breakdown spectroscopy
law of minimum
LIBS
livestock
lying posture
machine vision
mapping
model predictive control
moisture measurement
multispectral imaging
non-contact measurement
on-site detection
optical micro-sensors
partial least squares (PLS)
pH
plant detection
point cloud
precision agriculture
precision farming
precision weeding
principal component analysis (PCA)
proximal soil sensing
quantile regression
quasi-3D inversion algorithm
real-time measurement
sandy infertile soil
segmentation
sensor fusion
soil
soil electrical resistivity
soil moisture
soil nitrate nitrogen (NO3−-N)
soil nutrients
soil testing
spectroscopy
standing posture
thermal image processing
Three-dimensional mapping
transfer learning
UAV
willow tree
X-ray fluorescence
yield estimation
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Internet

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