Agriculture,
Год журнала:
2023,
Номер
14(1), С. 65 - 65
Опубликована: Дек. 29, 2023
In
the
context
of
automatic
driving,
analysis
steering
motion
characteristics
is
critical
for
enhancing
efficiency
crawler
harvesters.
To
address
issues
such
as
low
transmission
and
large
radius
encountered
by
traditional
harvesters
featuring
hydrostatic
drives,
a
driven
harvester
chassis
was
designed.
This
involved
system
structure
its
under
several
conditions,
including
differential
steering,
direction
reversal,
unilateral
braking
steering.
The
parameters
were
determined
based
on
real-time
kinematic
positioning–global
navigation
satellite
(RTK-GNSS)
measurements,
they
compared
with
theoretical
predictions
kinematics.
slip
rates
modified
models
various
modes
then
obtained.
results
indicated
that
increase
in
ratio
between
running
input
speeds
led
to
larger
track
radii
smaller
average
rotational
angular
velocities.
Remarkably,
slopes
linear
fits
tracked
varied
significantly
reversal
modes.
Compared
actual
results,
correlation
coefficient
fitting
model
close
1.
parameter
deemed
suitable
operational
requirements.
provide
valuable
reference
designing
operating
different
road
surfaces.
Sensors,
Год журнала:
2025,
Номер
25(4), С. 1110 - 1110
Опубликована: Фев. 12, 2025
Automatic
navigation,
as
one
of
the
modern
technologies
in
farming
automation,
enables
unmanned
driving
and
operation
agricultural
vehicles.
In
this
research,
ZPTM
(Zigzag
Path
Tracking
Method)
was
proposed
to
reduce
complexity
path
planning
by
using
a
point
cloud
consisting
series
anchor
points
with
spatial
information,
which
are
obtained
from
orthophotos
taken
UAVs
(Unmanned
Aerial
Vehicles)
represent
curved
zigzag.
A
local
straight
created
linking
two
adjacent
points,
forming
target
be
tracked,
simplified
navigation
algorithm
for
zigzag
tracking.
nonlinear
feedback
function
established,
both
lateral
heading
errors
inputs
determining
desired
angle
vehicles,
were
guided
along
minimal
errors.
GUI
(Graphic
User
Interface)
designed
on
terminal
visualize
monitor
working
process
vehicles
automatic
displaying
interactive
controls
components,
including
representations
vehicle
affine
transformation.
high-clearance
sprayer
equipped
an
system
utilized
test
platform
evaluate
ZPTM.
Zigzag
tests
conducted
explore
impact
tracking
parameters,
curvature,
moving
speed,
spacing
between
performance.
Based
these
tests,
regression
model
established
optimize
parameters
achieving
accurate
smooth
movement.
Field
results
showed
that
maximum
error,
average
RMS
(Root
Mean
Square)
error
3.30
cm,
2.04
2.27
respectively.
These
indicate
path-based
research
demonstrates
adequate
stability,
accuracy,
applicability
navigation.
Unmanned
agricultural
tractor
(UAT)
represents
the
advanced
stage
of
autonomous
navigation
and
serves
as
a
core
technology
in
production.
It
reduces
operator’s
workload,
improves
operational
accuracy
efficiency.
This
article
reviews
three
aspects
key
technologies
for
UATs:
perception,
path
planning
tracking,
motion
control.
The
advantages,
shortages
these
on
UATs
are
clarified
by
analyzing
technical
principles
current
research
status.
We
conducted
summaries
analyses
existing
unmanned
solutions
different
application
scenarios
order
to
identify
bottleneck
issues.
Based
analysis
applicability
UATs,
it
can
be
seen
that
fruitful
progresses
have
been
achieved.
review
also
summarizes
common
problems
technologies.
sharing
integrating
multi-source
data
relatively
weak.
There
is
an
urgent
need
high-precision,
high-stability
sensing
equipment.
universality
methods,
efficiency
precision
tracking
improved.
necessary
develop
high
reliability
electrical
control
modules
enhance
performance.
Overall,
sensors,
high-performance
intelligent
algorithms,
reliable
hardware
factors
promoting
development
UAT
technology.
Agriculture,
Год журнала:
2024,
Номер
14(7), С. 1079 - 1079
Опубликована: Июль 4, 2024
In
the
rainy
season,
which
often
has
uncertain
rainfall,
crawler
combine
harvesters
have
difficulty
traversing
wet
and
soft
rice
fields.
A
large
amount
of
clay
is
accumulated
on
track
surfaces,
resulting
in
frequent
slipping
sinking,
greatly
affects
operational
performance
harvesting
efficiency
harvesters.
To
address
this
issue,
paper
proposes
a
high-traction
grouser
based
structure
an
ostrich’s
foot
sole.
First,
traction
force
mathematical
model
constructed
to
analyze
interaction
between
fields,
parameter
optimization
conducted.
Then,
bionic
information
dung
beetle’s
non-smooth
body
surface
extracted,
designed
with
biomimetic
convex
hull
patterns
geometric
similarity
principle
adhesive
experiments.
Finally,
analysis
results
indicate
that
optimized
significantly
improved
For
plate
desorption
pattern,
diameter
6
mm,
spacing
8.25
height
3
mm
led
good
adhesion
reduction
effects
soil.
Agriculture,
Год журнала:
2024,
Номер
14(9), С. 1473 - 1473
Опубликована: Авг. 29, 2024
Agriculture
is
a
labor-intensive
industry.
However,
with
the
demographic
shift
toward
an
aging
population,
agriculture
increasingly
confronted
labor
shortage.
The
technology
for
autonomous
operation
of
agricultural
equipment
in
large
fields
can
improve
productivity
and
reduce
intensity,
which
help
alleviate
impact
population
on
agriculture.
Nevertheless,
significant
challenges
persist
practical
application
this
technology,
particularly
concerning
adaptability,
operational
precision,
efficiency.
This
review
seeks
to
systematically
explore
advancements
unmanned
operations,
focus
onboard
environmental
sensing,
full-coverage
path
planning,
control
technologies.
Additionally,
discusses
future
directions
key
technologies
fields.
aspires
serve
as
foundational
reference
development
large-scale
equipment.
Machines,
Год журнала:
2024,
Номер
12(4), С. 218 - 218
Опубликована: Март 25, 2024
The
development
of
unmanned
agricultural
tractors
(UAT)
represents
a
significant
step
towards
intelligent
equipment.
UAT
technology
is
expected
to
lighten
the
workload
laborers
and
enhance
accuracy
efficiency
mechanized
operations.
Through
investigation
123
relevant
studies
in
literature
published
recent
years,
this
article
reviews
three
aspects
autonomous
navigation
technologies
for
UATs:
perception,
path
planning
tracking,
motion
control.
advantages
deficiencies
these
context
UATs
are
clarified
by
analyzing
technical
principles
status
current
research.
We
conduct
summaries
analyses
existing
solutions
different
application
scenarios
order
identify
bottleneck
issues.
Based
on
analysis
applicability
UATs,
it
can
be
seen
that
fruitful
research
progress
has
been
achieved.
review
also
summarizes
common
problems
technologies.
sharing
integrating
multi-source
data
so
far
relatively
weak.
There
an
urgent
need
high-precision
high-stability
sensing
universality
methods
precision
tracking
improved,
necessary
develop
highly
reliable
electrical
control
modules
performance.
Overall,
advanced
sensors,
high-performance
algorithms,
hardware
key
factors
promoting
technology.
Remote Sensing,
Год журнала:
2025,
Номер
17(4), С. 607 - 607
Опубликована: Фев. 11, 2025
Accurately
and
precisely
obtaining
field
crop
information
is
crucial
for
evaluating
the
effectiveness
of
rice
transplanter
operations.
However,
working
environment
transplanters
in
paddy
fields
complex,
data
obtained
solely
from
GPS
devices
installed
on
agricultural
machinery
cannot
directly
reflect
specific
seedlings,
making
it
difficult
to
accurately
evaluate
quality
This
study
proposes
a
CAD-UNet
model
detecting
seedling
rows
based
low
altitude
orthorectified
remote
sensing
images,
uses
evaluation
indicators
such
as
straightness
parallelism
operation
transplanter.
We
have
introduced
convolutional
block
attention
module
(CBAM)
gate
(AG)
modules
basis
original
UNet
network,
which
can
merge
multiple
feature
maps
or
flows
together,
helping
better
select
key
areas
features
image,
thereby
improving
understanding
image
content
task
execution
performance.
In
addition,
response
characteristics
dense
diverse
shapes
rows,
this
attempts
integrate
deformable
network
version
2
(DCNv2)
into
replacing
standard
square
convolution,
sampling
receptive
closer
shape
more
suitable
capturing
various
scales
row
features,
further
performance
generalization
ability
model.
Different
semantic
segmentation
models
are
trained
tested
using
high-resolution
images
drones,
compared.
The
experimental
results
indicate
that
provides
excellent
results,
with
precision,
recall,
F1-score
reaching
91.14%,
87.96%,
89.52%,
respectively,
all
superior
other
models.
transplanter’s
show
minimum
maximum
straightnessof
each
4.62
13.66
cm,
parallelismbetween
adjacent
5.16
23.34
respectively.
These
distribution
seedlings
field,
proving
proposed
method
quantitatively
be
applied
decision-making
farmland
management,
help
improve
efficiency
sustainability
