Root
crops
grow
in
the
soil
deeply
and
bond
with
closely,
which
results
that
process
of
separation
between
root
becomes
most
difficult
during
harvesting
processes.
In
order
to
harvest
efficiently,
mechanical
has
become
main
developing
trend.
However,
high
power
damage
rate
are
still
occurred
when
harvester
gets
touch
roots.
this
paper,
we
review
research
development
evaluation
its
performance
optimization
on
past
years.
The
mainly
consists
initial
ground
further
adhered
soil.
general,
soil-cutting
operation
sieving
mechanism
require
draught
power.
And
dramatic
friction,
impact,
pressure
so
on,
happen
components
soil-roots,
key
reasons
lead
damage.
methods
parameters,
including
digging
shovel
shape,
working
conditions,
vibration,
screening
way,
is
more
significant
improving
performance.
But
there
some
limitations
application
for
crops.
Future
suggested
focus
break-up
cutting
soil,
insight
into
interaction
roots
by
different
external
compression
loads,
long-term
studies
verify
high-efficiency
low-damage
performances
practical
application.
Agronomy,
Journal Year:
2025,
Volume and Issue:
15(4), P. 832 - 832
Published: March 27, 2025
The
digging
mechanism
is
the
component
of
garlic
harvesters
that
consumes
most
energy.
Consequently,
there
are
theoretical
gaps
in
design
resistance
reduction.
These
due
to
complexity
interaction
dynamics
between
shovel
and
soil,
insufficient
understanding
evolution
patterns
soil
damage.
To
address
these
challenges,
this
study
develops
a
finite
element
model
shovel–soil
system
using
damage
mechanics
characterize
nonlinear
mechanisms
under
operational
loading
conditions.
methodology
integrates
three
critical
phases:
(1)
analysis
was
employed
identify
key
parameters
for
calibration;
(2)
systematic
simulations
were
used
evaluate
effects
variables—entry
angle,
blade
bevel
forward
speed,
vibration
frequency—on
resistance;
(3)
orthogonal
experimental
optimization
carried
out.
Key
results
include
following:
(i)
A
relationship
identified
variables
(entry
frequency)
Furthermore,
threshold
optimal
performance
determined.
as
an
entry
angle
20°,
speed
0.39
m/s,
frequency
2.6
Hz.
(ii)
Validation
through
bin
experiments,
demonstrating
strong
agreement
simulated
measured
load–displacement
responses,
confirming
predictive
accuracy
model.
research
presented
paper
may
offer
insights
into
principles
low-resistance
designs
underground
fruit
harvesting.
INMATEH Agricultural Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 669 - 679
Published: April 28, 2025
Optimizing
parameters
is
a
crucial
step
in
designing
mechanical
structures
and
primary
means
of
raising
equipment
efficiency.
This
paper
proposes
multi-parameter
optimization
technique
that
combines
an
improved
genetic
algorithm(IGA)
ensemble
machine
learning(EML)to
optimize
licorice
harvester's
work
structure
parameters.
The
EML
model
trained
using
small
sample
dataset
built
on
the
coupled
DEM-MBD
(Multi-body
Dynamics
Coupled
Discrete
Element
Method)
simulation
model.
impact
base
learner
diversity
quantity
model's
prediction
accuracy
investigated.
Using
IGA,
harvester
are
optimized.
It
also
contrasted
with
conventional
response
surface
model(RSM)
parameter
techniques.
study
results
show
KNN
+lightGBM
+
catBoost
as
linear
meta-learner
has
R2
0.959,
MAE
0.048,
RMSE
0.06.
In
comparison
to
RSM,
EML-IGA
reduces
resistance
by
18.16%
specific
power
consumption
21.33%;
Pre-improvement
algorithm(PIGA),
it
11.36%
11.19%.
provides
reference
for
intelligent
methods.
Biomimetics,
Journal Year:
2025,
Volume and Issue:
10(5), P. 306 - 306
Published: May 11, 2025
Subsoiling
is
an
effective
tillage
method
for
breaking
up
the
plough
pan
and
reducing
soil
bulk
density.
However,
subsoilers
often
encounter
challenges
such
as
high
draft
resistance
excessive
energy
consumption
during
operation.
In
this
study,
claw
toes
of
badger
scales
pangolin
were
selected
bionic
prototypes,
based
on
which
coupling
designed.
The
discrete
element
(DEM)
was
used
to
simulate
analyze
interactions
between
both
standard
subsoiler
subsoilers.
Field
experiments
conducted
validate
simulation
results.
results
showed
that
reduced
force
by
7.70–16.02%
compared
at
different
working
speeds.
Additionally,
disturbance
coefficient
decreased
5.91–13.57%,
bulkiness
2.84–18.41%.
field
experiment
average
11.06%
area.
validated
accuracy
DEM
This
study
provides
valuable
insights
designing
more
efficient
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(8), P. 854 - 854
Published: April 15, 2025
In
the
mechanized
harvesting
of
root
vegetables,
loosening
is
a
key
factor
that
restricts
efficiency.
Existing
mechanical
methods
have
poor
effect
and
high
operational
resistance.
Therefore,
more
efficient
agricultural
machinery
needed
to
reduce
energy
consumption
improve
To
this
end,
based
on
excavation
mechanism
first
claw
toe
structure
mole
cricket
forefoot,
paper
designs
shovel
tip
bionic
by
extracting
its
contour
curve
analyzing
process,
constructs
working
resistance
model
dynamic
balance
equation
shovel,
determines
optimal
parameters
through
two-factor
three-level
orthogonal
simulation
experiments,
carries
out
comparative
experiments
with
common
shovels.
The
results
show
combination
operating
for
rotational
speed
ω
=
5
r/s
traveling
whole
machine
v
0.5
m/s.
disturbance
performance
31
soil
improved
51.59%
compared
reduced
12.17%.
study
proved
can
significantly
which
effectively
cutting
loss
during
process.
