Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: July 25, 2024
The
digitalization
of
agriculture
is
rapidly
changing
the
way
farmers
do
business.
With
integration
advanced
technology,
are
now
able
to
increase
efficiency,
productivity,
and
precision
in
their
operations.
Digitalization
allows
for
real-time
monitoring
management
crops,
leading
improved
yields
reduced
waste.
This
paper
presents
a
review
some
use
cases
that
has
made
an
impact
automation
open-field
closed-field
cultivations
by
means
collecting
data
about
soils,
crop
growth,
microclimate,
or
contributing
more
accurate
decisions
water
usage
fertilizer
application.
objective
was
address
most
recent
technological
advances
increased
efficiency
sustainability
production,
reduction
inputs
environmental
impacts,
releasing
manual
workforces
from
repetitive
field
tasks.
short
discussions
included
at
end
each
case
study
attempt
highlight
limitations
challenges
toward
successful
implementations,
as
well
introduce
alternative
solutions
methods
evolving
offer
vast
array
benefits
influencing
cost-saving
measures.
concludes
despite
many
digitalization,
there
still
number
need
be
overcome,
including
high
costs,
reliability,
scalability.
Most
available
setups
currently
used
this
purpose
have
been
custom
designed
specific
tasks
too
expensive
implemented
on
commercial
scales,
while
others
early
stages
development,
making
them
not
reliable
scalable
widespread
acceptance
adoption
farmers.
By
providing
comprehensive
understanding
current
state
its
sustainable
production
food
security,
provides
insights
policy-makers,
industry
stakeholders,
researchers
working
field.
Machines,
Journal Year:
2022,
Volume and Issue:
10(10), P. 913 - 913
Published: Oct. 9, 2022
In
recent
years,
with
the
rapid
development
of
science
and
technology,
agricultural
robots
have
gradually
begun
to
replace
humans,
complete
various
operations,
changing
traditional
production
methods.
Not
only
is
labor
input
reduced,
but
also
efficiency
can
be
improved,
which
invariably
contributes
smart
agriculture.
This
paper
reviews
core
technologies
used
for
in
non-structural
environments.
addition,
we
review
technological
progress
drive
systems,
control
strategies,
end-effectors,
robotic
arms,
environmental
perception,
other
related
systems.
research
shows
that
a
non-structured
environment,
using
cameras
light
detection
ranging
(LiDAR),
as
well
ultrasonic
satellite
navigation
equipment,
by
integrating
sensing,
transmission,
control,
operation,
different
types
actuators
innovatively
designed
developed
advance
robots,
meet
delicate
complex
requirements
products
operational
objects,
such
better
productivity
standardization
agriculture
achieved.
summary,
developing
toward
data-driven,
standardized,
unmanned
approach,
supported
actuator-driven-based
robots.
concludes
summary
main
existing
challenges
applications
outlook
regarding
primary
directions
near
future.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 145813 - 145852
Published: Jan. 1, 2023
The
increasing
food
scarcity
necessitates
sustainable
agriculture
achieved
through
automation
to
meet
the
growing
demand.
Integrating
Internet
of
Things
(IoT)
and
Wireless
Sensor
Networks
(WSNs)
is
crucial
in
enhancing
production
across
various
agricultural
domains,
encompassing
irrigation,
soil
moisture
monitoring,
fertilizer
optimization
control,
early-stage
pest
crop
disease
management,
energy
conservation.
application
protocols
such
as
ZigBee,
WiFi,
SigFox,
LoRaWAN
are
commonly
employed
collect
real-time
data
for
monitoring
purposes.
Embracing
advanced
technology
imperative
ensure
efficient
annual
production.
Therefore,
this
study
emphasizes
a
comprehensive,
future-oriented
approach,
delving
into
IoT-WSNs,
wireless
network
protocols,
their
applications
since
2019.
It
thoroughly
discusses
overview
IoT
WSNs,
architectures
summarization
protocols.
Furthermore,
addresses
recent
issues
challenges
related
IoT-WSNs
proposes
mitigation
strategies.
provides
clear
recommendations
future,
emphasizing
integration
aiming
contribute
future
development
smart
systems.
Agronomy,
Journal Year:
2023,
Volume and Issue:
13(7), P. 1780 - 1780
Published: June 30, 2023
Crop
row
detection
is
one
of
the
foundational
and
pivotal
technologies
agricultural
robots
autonomous
vehicles
for
navigation,
guidance,
path
planning,
automated
farming
in
crop
fields.
However,
due
to
a
complex
dynamic
environment,
remains
challenging
task.
The
surrounding
background,
such
as
weeds,
trees,
stones,
can
interfere
with
appearance
increase
difficulty
detection.
accuracy
rows
also
impacted
by
different
growth
stages,
environmental
conditions,
curves,
occlusion.
Therefore,
appropriate
sensors
multiple
adaptable
models
are
required
achieve
high-precision
This
paper
presents
comprehensive
review
methods
applications
related
machinery
navigation.
Particular
attention
has
been
paid
systems
used
improve
their
perception
capabilities.
advantages
disadvantages
current
mainstream
methods,
including
various
traditional
deep
learning
frameworks,
discussed
summarized.
Additionally,
tasks,
irrigation,
harvesting,
weeding,
spraying,
scenarios,
dryland,
paddy
field,
orchard,
greenhouse,
reported.
Machines,
Journal Year:
2022,
Volume and Issue:
10(8), P. 648 - 648
Published: Aug. 4, 2022
The
paper
discusses
the
state-of-the-art
of
locomotion
systems
for
ground
mobile
robots
comprising
tracks.
Tracked
locomotion,
due
to
large
contact
surface
with
ground,
is
particularly
suitable
tackling
soft,
yielding,
and
irregular
terrains,
but
characterized
by
lower
speed
energy
efficiency
than
wheeled
obstacle-climbing
capability
legged
locomotion.
Therefore,
in
recent
years
academic
industrial
researchers
have
designed
a
wide
variety
hybrid
solutions,
combining
tracks
legs
wheels.
proposes
three
possible
parallel
taxonomies,
based
on
body
architecture,
track
profile,
type,
help
designers
select
most
architecture
basis
operative
necessities.
Moreover,
modeling,
simulation,
design
methodologies
tracked
are
recalled.
