Development of a GIS-based Autonomous Soil Drilling Robot for Efficient Tree Cultivation and Orchard Planting
Published: June 11, 2024
A
typical
orchard's
mechanical
operation
consists
of
three
or
four
stages:
lining,
digging
for
plantation,
moving
the
seedling
from
nurseries
to
farm,
planting
hole,
and
in
hole.
However,
hole
is
most
time-consuming
operation.
In
fruit
orchards,
robots'
usage
increasingly
becoming
more
prevalent
increase
operational
efficiency.
They
offer
practical
effective
services
both
industry
people,
whether
they
are
assigned
plant
trees,
reduce
use
chemical
fertilizers,
carry
heavy
loads
relieve
staff.
Robots
can
operate
extended
periods
time
highly
adept
at
repetitive
tasks
like
many
trees.
The
present
study
aims
identify
locations
trees
orchards
using
geographic
information
systems
(GIS),
develop
an
autonomous
drilling
machine
developed
robot
open
holes.
There
isn't
a
comparable
on
literature
this
regard.
agricultural
mobile
wheeled
nonholonomic
with
differential
steering
forwarding
capability
stable
target
positions.
designed
be
used
fully
autonomous,
partially
manual
modes.
system,
which
y-axis
shifter
driven
by
DC
motor
reducer
includes
auger
2.1
HP
gasoline
engine.
SOLIDWORKS
software
was
designing
drawing
system.
Microsoft
Visual
Basic.NET
programming
language
create
navigation
system
mechanism
software.
cross-track
error
(XTE),
determines
distances
between
actual
desired
holes
positions,
utilized
analyze
accuracy
spots.
Consequently,
average
arithmetic
means
determined
4.35
cm,
standard
deviation
1.73
cm.
This
figure
indicates
that
suggested
orchards.
Language: Английский
A Prototype Decision Support System for Tree Selection and Plantation with a Focus on Agroforestry and Ecosystem Services
Forests,
Journal Year:
2024,
Volume and Issue:
15(7), P. 1219 - 1219
Published: July 14, 2024
This
study
presents
the
development
and
application
of
a
prototype
decision
support
system
(DSS)
for
tree
selection
specifically
Punjab,
India,
region
facing
challenges
low
forest
cover
an
increasing
demand
sustainable
land
use
practices.
The
DSS
developed
using
R
Shiny
framework
integrates
ecological,
social,
agro-commercial
criteria
to
facilitate
scientific
knowledge
making
in
plantation.
modules
this
include
tool
based
on
comprehensive
species
attributes,
GIS-based
suitability
map
module
utilizing
Analytical
Hierarchical
Process
(AHP),
silviculture
practice
information
sourced
from
authoritative
databases.
Combining
sophisticated
statistical
spatial
analysis,
such
as
NMDS
AHP-GIS,
mitigates
data
redundancy
SDM
while
incorporating
extensive
bibliographic
research
dataset
processing.
highlights
necessity
fundamental
niche-based
comparison
realized
niche
suitability.
It
emphasizes
importance
addressing
ecosystem
services,
aspects,
enhancing
silvicultural
knowledge.
Additionally,
underscores
significance
local
stakeholder
engagement
selection,
particularly
involving
farmers
other
growers,
ensure
community
involvement
support.
supports
agroforestry
initiatives
finds
applications
urban
management
governmental
programs,
emphasizing
literature
at
each
step,
contrast
relying
solely
Language: Английский
Optimizing Orchard Planting Efficiency with a GIS-Integrated Autonomous Soil-Drilling Robot
AgriEngineering,
Journal Year:
2024,
Volume and Issue:
6(3), P. 2870 - 2890
Published: Aug. 13, 2024
A
typical
orchard’s
mechanical
operation
consists
of
three
or
four
stages:
lining
and
digging
for
plantation,
moving
the
seedling
from
nurseries
to
farm,
planting
hole,
in
hole.
However,
hole
is
most
time-consuming
operation.
In
fruit
orchards,
use
robots
increasingly
becoming
more
prevalent
increase
operational
efficiency.
They
offer
practical
effective
services
both
industry
people,
whether
they
are
assigned
plant
trees,
reduce
chemical
fertilizers,
carry
heavy
loads
relieve
staff.
Robots
can
operate
extended
periods
time
be
highly
adept
at
repetitive
tasks
like
many
trees.
The
present
study
aims
identify
locations
trees
orchards
using
geographic
information
systems
(GISs),
develop
an
autonomous
drilling
machine
developed
robot
open
holes.
There
no
comparable
on
literature
this
regard.
agricultural
mobile
a
four=wheeled
nonholonomic
with
differential
steering
forwarding
capability
stable
target
positions.
designed
used
fully
autonomous,
partially
manual
modes.
system,
which
y-axis
shifter
driven
by
DC
motor
reducer
includes
auger
2.1
HP
gasoline
engine.
SOLIDWORKS
2020
software
was
designing
drawing
system.
Microsoft
Visual
Basic.NET
programming
language
create
navigation
system
mechanism
software.
cross-track
error
(XTE),
determines
distances
between
actual
desired
holes
positions,
utilized
analyze
accuracy
spots.
Consequently,
average
arithmetic
means
determined
4.35
cm,
standard
deviation
1.73
cm.
This
figure
indicates
that
suggested
orchards.
Language: Английский
Development of a GIS-based Autonomous Soil Drilling Robot for Efficient Tree Cultivation and Orchard Planting
Published: May 9, 2024
A
typical
orchard's
mechanical
operation
consists
of
three
or
four
stages:
lining,
digging
for
plantation,
moving
the
seedling
from
nurseries
to
farm,
planting
hole,
and
in
hole.
However,
hole
is
most
time-consuming
operation.
In
fruit
orchards,
robots'
usage
increasingly
becoming
more
prevalent
increase
operational
efficiency.
They
offer
practical
effective
services
both
industry
people,
whether
they
are
assigned
plant
trees,
reduce
use
chemical
fertilizers,
carry
heavy
loads
relieve
staff.
Robots
can
operate
extended
periods
time
highly
adept
at
repetitive
tasks
like
many
trees.
The
present
study
aims
identify
locations
trees
orchards
using
geographic
information
systems
(GIS),
develop
an
autonomous
drilling
machine
developed
robot
open
holes.
agricultural
mobile
a
wheeled
nonholonomic
with
differential
steering
forwarding
capability
stable
target
positions.
system,
which
y-axis
shifter
driven
by
DC
motor
reducer
includes
auger
2.1
HP
gasoline
engine.
SOLIDWORKS
software
was
used
designing
drawing
system.
Microsoft
Visual
Basic.NET
programming
language
create
navigation
system
mechanism
software.
cross-track
error
(XTE),
determines
distances
between
actual
desired
holes
positions,
utilized
analyze
accuracy
spots.
Consequently,
average
arithmetic
means
determined
be
4.35
cm,
standard
deviation
1.73
cm.
This
figure
indicates
that
suggested
orchards.
Language: Английский