Black Sea Journal of Agriculture,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 30, 2024
The
efficient
and
sustainable
operation
of
the
agricultural
sector
has
become
increasingly
important
in
light
transformations
brought
about
by
third
fourth
industrial
revolutions.
Population
growth,
increasing
food
demand,
rising
input
costs,
environmental
pressures
necessitate
innovative
approaches
not
only
to
ensure
security
but
also
mitigate
effects
climate
change.
European
Union
(EU)
emphasizes
role
digital
technologies
supporting
productivity
resilience
promoting
a
bio-based
economy.
Strategies
such
as
Farm
Fork
(F2F)
initiative
aim
reduce
pesticide
nutrient
inputs,
thus
preserving
biodiversity
ecosystem
health.
Artificial
intelligence
(AI)
predictive
analytics,
along
with
connected
sensors,
offer
opportunities
optimize
water
usage
increase
crop
yields.
By
utilizing
AI,
combining
remote
sensing
technologies,
monitoring
changes
land
use,
it
is
possible
risks
associated
practices.
Although
there
are
challenges
high
investment
costs
data
control
for
integration
ongoing
research
development
efforts
promise
overcome
these
obstacles.
In
conclusion,
into
agriculture
presents
unique
address
urgent
issues
achieve
sustainability
goals.
This
review
discusses
applicability
fundamental
Internet
Things
(IoT),
Intelligence
(AI),
Precision
Agriculture
(PA),
Machine
Learning
(ML)
making
more
sustainable,
enabling
perception,
monitoring,
collection,
analysis,
extraction
meaningful
insights
from
data.
Agronomy,
Journal Year:
2022,
Volume and Issue:
12(1), P. 118 - 118
Published: Jan. 4, 2022
In
the
last
few
decades,
increase
in
world’s
population
has
created
a
need
to
produce
more
food,
generating,
consequently,
greater
pressure
on
agricultural
production.
addition,
problems
related
climate
change,
water
scarcity
or
decreasing
amounts
of
arable
land
have
serious
implications
for
farming
sustainability.
Weeds
can
affect
food
production
systems,
product
quality
and
productivity
due
competition
natural
resources.
On
other
hand,
weeds
also
be
considered
valuable
indicators
biodiversity
because
their
role
providing
ecosystem
services.
this
sense,
there
is
carry
out
an
effective
sustainable
weed
management
process,
integrating
various
control
methods
(i.e.,
cultural,
mechanical
chemical)
harmonious
way,
without
harming
entire
agrarian
ecosystem.
Thus,
intensive
mechanization
herbicide
use
should
avoided.
Herbicide
resistance
some
biotypes
major
concern
today
must
tackled.
recent
development
technologies
promote
higher
levels
production,
lower
amount
inputs
needed
reduce
environmental
damage,
invariably
bringing
us
closer
systems.
paper,
we
review
most
common
conventional
non-conventional
strategies
from
sustainability
perspective,
highlighting
application
precision
automated
associated
with
(PWM).
Applied Sciences,
Journal Year:
2021,
Volume and Issue:
11(13), P. 5911 - 5911
Published: June 25, 2021
Timely
and
reliable
information
about
crop
management,
production,
yield
is
considered
of
great
utility
by
stakeholders
(e.g.,
national
international
authorities,
farmers,
commercial
units,
etc.)
to
ensure
food
safety
security.
By
2050,
according
Food
Agriculture
Organization
(FAO)
estimates,
around
70%
more
production
agricultural
products
will
be
needed
fulfil
the
demands
world
population.
Likewise,
meet
Sustainable
Development
Goals
(SDGs),
especially
second
goal
“zero
hunger”,
potential
technologies
like
remote
sensing
(RS)
need
efficiently
integrated
into
agriculture.
The
application
RS
indispensable
today
for
a
highly
productive
sustainable
Therefore,
present
study
draws
general
overview
technology
with
special
focus
on
principal
platforms
this
technology,
i.e.,
satellites
remotely
piloted
aircrafts
(RPAs),
sensors
used,
in
relation
5th
industrial
revolution.
Nevertheless,
since
1957,
has
found
applications,
through
use
satellite
imagery,
agriculture,
which
was
later
enriched
incorporation
further
pushing
boundaries
proficiency
upgrading
capable
higher
spectral,
spatial,
temporal
resolutions.
More
prominently,
wireless
sensor
(WST)
have
streamlined
real
time
acquisition
programming
respective
measures.
Improved
algorithms
can,
not
only
add
significant
value
data
acquisition,
but
can
also
devise
simulations
yield,
harvesting
irrigation
periods,
metrological
data,
etc.,
making
cloud
computing.
generates
huge
sets
that
necessitate
artificial
intelligence
(AI)
big
extract
useful
products,
thereby
augmenting
adeptness
efficiency
agriculture
its
sustainability.
These
made
orientation
current
research
towards
estimation
plant
physiological
traits
rather
than
structural
parameters
possible.
Futuristic
approaches
benefiting
from
these
cutting-edge
are
discussed
study.
This
helpful
researchers,
academics,
young
students
aspiring
play
role
achievement
Remote Sensing,
Journal Year:
2021,
Volume and Issue:
13(11), P. 2139 - 2139
Published: May 29, 2021
This
paper
reviewed
a
set
of
twenty-one
original
and
innovative
papers
included
in
special
issue
on
UAVs
for
vegetation
monitoring,
which
proposed
new
methods
techniques
applied
to
diverse
agricultural
forestry
scenarios.
Three
general
categories
were
considered:
(1)
sensors
indices
used,
(2)
technological
goals
pursued,
(3)
agroforestry
applications.
Some
investigations
focused
issues
related
UAV
flight
operations,
spatial
resolution
requirements,
computation
data
analytics,
while
others
studied
the
ability
characterizing
relevant
features
(mainly
canopy
cover
crop
height)
or
detecting
different
plant/crop
stressors,
such
as
nutrient
content/deficiencies,
water
needs,
weeds,
diseases.
The
goal
was
proposing
UAV-based
solutions
better
use
resources
more
efficient
production
with
economic
environmental
benefits.
Agriculture,
Journal Year:
2023,
Volume and Issue:
13(3), P. 707 - 707
Published: March 18, 2023
Vegetation
indices
provide
information
for
various
precision-agriculture
practices,
by
providing
quantitative
data
about
crop
growth
and
health.
To
a
concise
up-to-date
review
of
vegetation
in
precision
agriculture,
this
study
focused
on
the
major
with
criterion
their
frequency
scientific
papers
indexed
Web
Science
Core
Collection
(WoSCC)
since
2000.
Based
topic
“precision
agriculture”
combined
“vegetation
index”,
found
that
United
States
China
are
global
leaders
total
research
application
indices,
while
analysis
adjusted
country
area
showed
much
more
homogenous
development
agriculture.
Among
these
studies,
based
multispectral
sensor
frequently
adopted
studies
than
low-cost
alternatives
RGB
sensor.
The
normalized
difference
index
(NDVI)
was
determined
as
dominant
index,
2200
year
With
existence
improved
shortcomings
NDVI,
such
enhanced
(EVI)
soil-adjusted
(SAVI),
recognized
potential
enabling
superior
results
to
those
NDVI
future
studies.
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.
Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(7), P. 1604 - 1604
Published: March 27, 2022
This
review
focuses
on
the
use
of
unmanned
aerial
vehicles
(UAVs)
in
precision
agriculture,
and
specifically,
viticulture
(PV),
is
intended
to
present
a
bibliometric
analysis
their
developments
field.
To
this
aim,
research
papers
published
last
15
years
presented
based
Scopus
database.
The
shows
that
researchers
from
United
States,
China,
Italy
Spain
lead
agriculture
through
UAV
applications.
In
terms
employing
UAVs
PV,
are
fast
extending
work
followed
by
finally
States.
Additionally,
paper
provides
comprehensive
study
popular
journals
for
academicians
submit
work,
accessible
funding
organizations,
nations,
institutions,
authors
conducting
utilizing
agriculture.
Finally,
emphasizes
necessity
using
PV
as
well
future
possibilities.
Frontiers in Plant Science,
Journal Year:
2022,
Volume and Issue:
13
Published: May 20, 2022
Enhanced
crop
growth
and
yield
are
the
recurring
concerns
in
agricultural
field,
considering
soaring
world
population
climate
change.
Abiotic
stresses
one
of
major
limiting
factors
for
constraining
production,
several
economically
important
horticultural
crops,
contribute
to
almost
70%
gap.
Salt
stress
is
these
unsought
abiotic
that
has
become
a
consistent
problem
agriculture
over
past
few
years.
Salinity
further
induces
ionic,
osmotic,
oxidative
result
various
metabolic
perturbations
(including
generation
reactive
oxygen,
carbonyl,
nitrogen
species),
reduction
water
potential
(ψ
w
),
distorted
membrane
potential,
injury,
altered
rates
photosynthesis,
leaf
senescence,
reduced
assimilation,
among
others);
thereby
provoking
drastic
yield.
One
strategies
mitigate
salt
use
natural
plant
extracts
(PEs)
instead
chemical
fertilizers,
thus
water,
soil,
environmental
pollution.
PEs
mainly
consist
seeds,
roots,
shoots,
fruits,
flowers,
leaves
concentrates
employed
either
individually
or
mixtures.
Since
usually
rich
bioactive
compounds
(e.g.,
carotenoids,
flavonoids,
phenolics,
etc.),
therefore
they
effective
regulating
redox
metabolism,
promoting
However,
like
stage,
doses
applied,
application
method,
conditions
may
greatly
influence
their
impact
on
plants.
have
been
reported
enhance
tolerance
plants
primarily
through
modulation
signaling
signatures
pathways
Na
+
,
ANNA4,
GIPC,
SOS3,
SCaBP8
Ca
2+
sensors,
regulation
machinery
[e.g.,
superoxide
dismutase
(SOD),
catalase
(CAT),
ascorbate
peroxidase
(APX),
non-specific
(POX),
glutathione
(GPX),
peroxiredoxin
(Prx),
ascorbic
acid
(AsA),
(GSH),
α-tocopherol,
etc.].
The
current
study
highlights
role
terms
sources,
methods
preparation,
mode
action
with
subsequent
physiological
changes
induced
against
salinity.
an
explicit
remains
nebulous,
which
might
be
explicated
utilizing
transcriptomics,
proteomics,
metabolomics,
bioinformatics
approaches.
Being
ecological
economical,
pave
way
ensuring
food
security
this
challenging
era
Agronomy Journal,
Journal Year:
2023,
Volume and Issue:
116(3), P. 1126 - 1143
Published: June 7, 2023
Abstract
Precision
agriculture
(PA)
has
become
an
increasingly
popular
approach
to
sustainable
intensification
in
agriculture,
with
the
intent
of
a
balance
between
agricultural
productivity
and
environmental
stewardship.
Sustainable
aims
increase
while
minimizing
negative
impacts.
To
assist
this,
PA
been
enabled
through
use
advanced
technologies
such
as
Internet
Things,
global
positioning
system,
geographic
information
systems,
sensors,
drones,
machine
learning.
These
have
farmers
practice
more
efficient
precise
farming
techniques.
This
review
provides
vision
explores
potential
contribute
this
goal.
emphasizes
various
practices,
irrigation
fertilizer
management,
accurate
pest
disease
livestock
farming.
is
also
explored
for
its
role
addressing
climate
change
mitigation
adaptation,
proactively
barriers
challenges
that
may
arise
implementing
PA.
Therefore,
future
precision
lies
technological
innovation,
data
analytics,
policy
interventions.
Agronomy,
Journal Year:
2023,
Volume and Issue:
13(7), P. 1942 - 1942
Published: July 22, 2023
As
the
global
population
continues
to
increase,
projected
reach
an
estimated
9.7
billion
people
by
2050,
there
will
be
a
growing
demand
for
food
production
and
agricultural
resources.
Transition
toward
Agriculture
4.0
is
expected
enhance
productivity
through
integration
of
advanced
technologies,
increase
resource
efficiency,
ensure
long-term
security
applying
more
sustainable
farming
practices,
resilience
climate
change
adaptation.
By
integrating
technologies
such
as
ground
IoT
sensing
remote
sensing,
via
both
satellite
Unmanned
Aerial
Vehicles
(UAVs),
exploiting
data
fusion
analytics,
can
make
transition
efficient,
productive,
paradigm.
The
present
work
performs
systematic
literature
review
(SLR),
identifying
challenges
associated
with
UAV,
Satellite,
Ground
Sensing
in
their
application
agriculture,
comparing
them
discussing
complementary
use
facilitate
Precision
(PA)
4.0.