Land,
Год журнала:
2025,
Номер
14(2), С. 399 - 399
Опубликована: Фев. 14, 2025
As
climate
change
intensifies,
organic
agriculture
faces
new
challenges
in
maintaining
sustainability
and
environmental
health.
Precision
offers
climate-smart
solutions
by
enabling
resource
efficient
data-driven
farming.
However,
the
adoption
of
precision
technologies
(PATs)
is
influenced
various
socio-economic
factors,
behavioral
financial
institutional
factors
technological
factors.
Adaptation
for
their
application
response
to
were
identified
through
a
systematic
literature
review
(SLR)
58
papers
from
journals
indexed
Scopus
Web
Science.
The
investigation
was
performed
Visegrad
group
countries:
Czechia,
Slovakia,
Poland,
Hungary.
Some
these
include
satellite
imaging,
remote
sensing,
soil
moisture
sensors,
irrigation
systems,
which
enable
more
use
water,
fertilizers,
energy.
Through
comparative
analysis
V4
countries,
this
underscores
importance
tailored
PA
approaches
address
specific
challenge
promote
sustainable
agricultural
practices
countries.
Agriculture,
Год журнала:
2025,
Номер
15(2), С. 210 - 210
Опубликована: Янв. 18, 2025
The
study
aims
to
assess
the
performance
of
European
sustainable
agriculture
through
a
new
model
agricultural
sustainability,
addressing
significant
gap
identified
in
literature:
lack
systematic
framework
integrating
economic,
environmental,
and
resource
efficiency
dimensions
use
context
EU
Common
Agricultural
Policy
Green
Deal.
research
develops
four
synthetic
indicators:
ISPAS
(Index
Sustainable
Productivity),
IREA
Reduced
Emissions
from
Agriculture),
ISAC
Combined
Sustainability),
IESA
Land
Area
Efficiency),
each
reflecting
complementary
aspects
performance.
methodology
is
based
on
an
econometric
linear
dynamic
Arellano–Bond
model,
which
allows
analysis
temporal
relationships
between
indicators
sustainability
performance,
capturing
inertia
effects
structural
dynamics
sector.
modeling
provides
robust
approach
capture
interdependencies
emission
reductions,
mainstreaming,
land
efficiency.
results
indicate
superior
quality
measurement
by
applying
this
integrated
framework,
highlighting
integration
economic
environmental
dimensions,
optimization
use.
also
valuable
policy
implications,
suggesting
concrete
directions
for
adapting
policies
particularities
Member
States.
By
methodological
innovative
indicators,
contributes
thorough
understanding
practical
tool
underpinning
Union.
Agronomy,
Год журнала:
2024,
Номер
14(9), С. 1975 - 1975
Опубликована: Сен. 1, 2024
Due
to
current
global
population
growth,
resource
shortages,
and
climate
change,
traditional
agricultural
models
face
major
challenges.
Precision
agriculture
(PA),
as
a
way
realize
the
accurate
management
decision
support
of
production
processes
using
modern
information
technology,
is
becoming
an
effective
method
solving
these
In
particular,
combination
remote
sensing
technology
machine
learning
algorithms
brings
new
possibilities
for
PA.
However,
there
are
relatively
few
comprehensive
systematic
reviews
on
integrated
application
two
technologies.
For
this
reason,
study
conducts
literature
search
Web
Science,
Scopus,
Google
Scholar,
PubMed
databases
analyzes
in
PA
over
last
10
years.
The
found
that:
(1)
because
their
varied
characteristics,
different
types
data
exhibit
significant
differences
meeting
needs
PA,
which
hyperspectral
most
widely
used
method,
accounting
more
than
30%
results.
UAV
offers
greatest
potential,
about
24%
data,
showing
upward
trend.
(2)
Machine
displays
obvious
advantages
promoting
development
vector
algorithm
20%,
followed
by
random
forest
algorithm,
18%
methods
used.
addition,
also
discusses
main
challenges
faced
currently,
such
difficult
problems
regarding
acquisition
processing
high-quality
model
interpretation,
generalization
ability,
considers
future
trends,
intelligence
automation,
strengthening
international
cooperation
sharing,
sustainable
transformation
achievements.
summary,
can
provide
ideas
references
combined
with
promote
Journal of Fungi,
Год журнала:
2025,
Номер
11(1), С. 77 - 77
Опубликована: Янв. 18, 2025
This
review
delves
into
innovative
technologies
to
improve
the
control
of
vascular
fungal
plant
pathogens.
It
also
briefly
summarizes
traditional
biocontrol
approaches
manage
them,
addressing
their
limitations
and
emphasizing
need
develop
more
sustainable
precise
solutions.
Powerful
tools
such
as
next-generation
sequencing,
meta-omics,
microbiome
engineering
allow
for
targeted
manipulation
microbial
communities
enhance
pathogen
suppression.
Microbiome-based
include
design
synthetic
consortia
transplant
entire
or
customized
soil/plant
microbiomes,
potentially
offering
resilient
adaptable
strategies.
Nanotechnology
has
advanced
significantly,
providing
methods
delivery
biological
agents
(BCAs)
compounds
derived
from
them
through
different
nanoparticles
(NPs),
including
bacteriogenic,
mycogenic,
phytogenic,
phycogenic,
debris-derived
ones
acting
carriers.
The
use
biodegradable
polymeric
non-polymeric
eco-friendly
NPs,
which
enable
controlled
release
antifungal
while
minimizing
environmental
impact,
is
explored.
Furthermore,
artificial
intelligence
machine
learning
can
revolutionize
crop
protection
early
disease
detection,
prediction
outbreaks,
precision
in
BCA
treatments.
Other
genome
editing,
RNA
interference
(RNAi),
functional
peptides
efficacy
against
pathogenic
fungi.
Altogether,
these
provide
a
comprehensive
framework
management
diseases,
redefining
modern
agriculture.
Cogent Food & Agriculture,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 20, 2025
Global
food
security
is
seriously
threatened
by
climate
change,
which
calls
for
creative
agricultural
solutions.
However,
little
known
about
how
different
smart
technologies
are
integrated
to
enhance
security.
As
a
strategic
reaction
these
difficulties,
this
review
investigates
the
incorporation
of
remote
sensing
(RS)
as
well
artificial
intelligence
(AI)
into
climate-smart
agriculture
(CSA).
This
demonstrates
advances
can
improve
resilience,
productivity,
and
sustainability
utilizing
AI's
capacity
predictive
analytics,
crop
modelling,
precision
agriculture,
along
with
RS's
strengths
in
projections,
land
management,
continuous
surveillance.
Several
important
tactics
were
covered,
such
combining
AI
RS
regulate
risks,
maximize
resource
utilization,
practice
choices.
The
also
discusses
issues
like
policy
frameworks,
building,
accessibility
that
prevent
from
being
widely
adopted.
highlights
further
CSA
offers
insights
they
help
ensure
systems
remain
secure
changing
climates.
