Digital
agriculture
is
a
modern
approach
to
farming
that
leverages
technology
improve
the
efficiency
and
sustainability
of
agricultural
production.
With
digital
tools,
farmers
can
make
data-driven
decisions
optimize
their
crops'
growth
reduce
waste.
One
key
components
use
sensors
other
monitoring
devices
gather
data
about
health
development
crops.
This
information
then
analyzed
using
advanced
software
algorithms
provide
insights
into
most
efficient
ways
manage
irrigation,
fertilizer
application,
pest
control,
critical
aspects
agriculture.
The
result
more
precise,
efficient,
sustainable
production
process.
Another
important
aspect
drones
unmanned
aerial
vehicles
survey
fields
monitor
crop
growth.
These
tools
with
real-time
progress
crops,
allowing
them
informed
optimizing
processes.
In
addition
these
technological
advancements,
uses
big
artificial
intelligence
(AI)
help
decisions.
AI,
analyze
vast
amounts
identify
patterns
trends
relevant
crops
operations.
Despite
benefits,
there
are
also
some
challenges
associated
this
sense,
paper
aims
main
Agriculture
faced
by
in
current
practices.
Journal of Sensor and Actuator Networks,
Journal Year:
2024,
Volume and Issue:
13(4), P. 39 - 39
Published: July 8, 2024
This
paper
explores
the
potential
of
smart
crop
management
based
on
incorporation
tools
like
digital
agriculture,
which
considers
current
technological
applied
in
such
as
Internet
Things
(IoT),
remote
sensing,
and
artificial
intelligence
(AI),
to
improve
production
efficiency
sustainability.
is
essential
context
varying
climatic
conditions
that
affect
availability
resources
for
agriculture.
The
integration
IoT
sensor
networks
can
allow
farmers
obtain
real-time
data
their
crops,
assessing
key
health
factors,
soil
conditions,
plant
water
status,
presence
pests,
environmental
among
others,
finally
result
data-based
decision-making
optimize
irrigation,
fertilization,
pest
control.
Also,
this
be
enhanced
by
incorporating
drones
unmanned
aerial
vehicles
(UAVs),
increase
monitoring
capabilities
through
comprehensive
field
surveys
high-precision
growth
tracking.
On
other
hand,
big
analytics
AI
are
crucial
analyzing
extensive
datasets
uncover
patterns
trends
provide
valuable
insights
improving
agricultural
practices.
highlights
advancements
applications
management,
addressing
challenges
barriers
global
adoption
these
new
types
technologies
emphasizing
need
ongoing
research
collaboration
achieve
sustainable
efficient
production.
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
954, P. 176761 - 176761
Published: Oct. 5, 2024
In
today's
world,
agriculture
is
not
only
about
food
production
but
also
a
critical
factor
in
global
environmental
change,
economic
stability,
and
human
health,
among
other
aspects.
With
population
growth
increasingly
scarce
resources,
exploring
sustainable
development
of
systems
has
become
crucial.
Achieving
this
goal
requires
striking
delicate
balance
security,
development,
ecological
environment,
health.
Traditional
approaches
to
agricultural
research
often
focus
solely
on
singular
domains,
overlooking
the
inherent
connections
interactions
environmental,
socioeconomic,
health
dimensions.
This
perspective
limits
our
comprehensive
understanding
systems.
Environmental
footprint
assessments
can
be
integrated
with
economic,
systemic,
decision
models
analyze
issues
within
integration
accurately
captures
diversity,
overlap,
accumulation,
heterogeneity
pressures
resulting
from
natural
factors.
Therefore,
we
propose
an
innovative
conceptual
framework
that
considers
dimensions
as
crucial
components,
indicators
at
its
core,
link
various
stages
farm
table.
constructs
evidence
gap
map,
integrating
dispersed
data
perspectives
existing
literature,
thus
showing
knowledge
gaps
across
these
domains.
Such
interdisciplinary
approach
provides
more
multidimensional
complexity
reveals
potential
synergies
conflicts
thereby
guiding
cautious
policy-making.
Importantly,
it
direction
for
future
achieve
systems,
emphasizing
necessity
comprehensive,
perspective,
particularly
strengthening
studies
composited
footprints,
viewing
entire
farm-to-table
continuum
holistically.
Stakeholders
must
collaborate
coordinate
objectives
drive
Agricultural Water Management,
Journal Year:
2024,
Volume and Issue:
302, P. 108981 - 108981
Published: July 31, 2024
In
2014,
the
Chinese
government
launched
a
comprehensive
agricultural
water
use
reform
policy
(CAWURP)
for
conservation
of
water.
Thus,
question
as
to
how
implementation
this
affects
food
production
has
arisen.
To
answer
question,
we
provincial
data
from
2004
2021
and
apply
difference-in-differences
(DID)
method
explore
relationship
between
CAWURP
production.
The
results
show
that
can
significantly
improve
production,
which
means
growth
be
achieved
simultaneously.
Moreover,
enhance
technological
innovation
promote
large-scale
crop
cultivation,
is
conducive
enhancing
Regional
division
based
on
CAWURP,
economic
development
level,
area
type
impacts
effect
CAWURP.
For
example,
reforms
have
been
more
effective
at
increasing
capacity
in
northeastern
eastern
regions.
However,
such
less
water-poor
northwestern
region
major
food-producing
Based
these
conclusions,
study
suggests
should
differentially
implement
by,
strengthening
level
Northwest
China
adjusting
projects
not
only
regions
country
but
also
Central
effectiveness
implementation.
This
provides
useful
reference
other
countries
aiming
conduct
security.
