The Economic and Technological Challenges of the Agri-Development Implementation Model in the Case of the Wielkopolska Region in Poland
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(4), P. 412 - 412
Published: Feb. 15, 2025
This
study
discusses
key
issues
relating
to
the
agri-development
perspective,
which
is
based
on
“numbered”
agriculture
model.
Selected
economic
and
technological
dilemmas
related
agribusiness
development
in
Wielkopolska
region
of
Poland
were
reviewed.
Based
not
only
a
literature
review,
but
also
our
own
research,
we
identified
current
challenges
for
farmers
terms
innovation,
green
energy,
environmental
ideas.
Using
diagnostic
survey
method,
with
agricultural
practitioners
as
experts,
potential
directions
regional
assessed
from
perspective
programming
next
stages
“agricultural
revolution”.
Individual
in-depth
interviews
conducted
purposely
invited
Wielkopolska,
one
most
agriculturally
developed
regions
Poland.
By
verifying
ex
post
assessment
pillars
Agriculture
“3.0”
“4.0”
concepts’
adaptation
model,
carried
out
respondents’
farms,
optimal
model
farm
operation
was
sought.
The
assumed
implementation
had
taken
place
that
“Agriculture
5.0”
under
conditions
evaluated,
possible.
so-defined
hypothesis
partially
confirmed
(conditionally).
provides
path
idea
N.0”,
value
“N”
yet
known.
Finally,
conclusions
recommendations
Wielkopolska’s
formulated.
Language: Английский
Weather-Driven Predictive Models for Jassid and Thrips Infestation in Cotton Crop
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 2803 - 2803
Published: March 21, 2025
Agriculture
is
a
vital
contributor
to
global
food
security
but
faces
escalating
threats
from
environmental
fluctuations
and
pest
incursions.
Among
the
most
prevalent
destructive
pests,
Jassid
(Amrasca
biguttula)
Thrips
(Thrips
tabaci)
frequently
afflict
cotton,
okra,
other
major
crops,
resulting
in
substantial
yield
losses
worldwide.
This
paper
integrates
five
machine
learning
(ML)
models
predict
incidence
based
on
key
meteorological
attributes,
including
temperature,
relative
humidity,
wind
speed,
sunshine
hours,
evaporation.
Two
ensemble
strategies,
soft
voting
stacking,
were
evaluated
enhance
predictive
performance.
Our
findings
indicate
that
stacking
yields
superior
results,
achieving
high
multi-class
AUC
scores
(0.985).
To
demystify
underlying
mechanisms
of
best-performing
ensemble,
this
study
employed
SHapley
Additive
exPlanations
(SHAP)
quantify
contributions
individual
weather
parameters.
The
SHAP
analysis
revealed
Standard
Meteorological
Week,
evaporation,
humidity
consistently
exert
strongest
influence
forecasts.
These
insights
align
with
biological
studies
highlighting
role
seasonality
humid
conditions
fostering
proliferation.
Importantly,
explainable
approach
bolsters
practical
utility
AI-based
solutions
for
integrated
management
(IPM),
enabling
stakeholders—farmers,
extension
agents,
policymakers—to
trust
effectively
operationalize
data-driven
recommendations.
Future
research
will
focus
integrating
real-time
data
satellite
imagery
further
prediction
accuracy,
as
well
incorporating
adaptive
techniques
refine
model
performance
under
varying
climatic
conditions.
Language: Английский
Digital motivation, knowledge, and skills: Pathways to adaptive millennial farmers
Open Agriculture,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
The
transformation
of
the
agricultural
sector
amidst
decline
in
farmer
regeneration
era
Industrial
Revolution
4.0
and
threat
climate
change
demands
a
new
approach
that
combines
digital
technology
with
adaptability
human
resources
to
deal
change.
It
is
important
understand
how
effectively
individual
farmers
respond
arising
from
uncertainty,
complexity,
rapid
changes
their
work
environments,
which
are
often
associated
unclear
challenges.
Measuring
level
competence,
online
participation,
millennial
can
form
basis
for
formulating
resource
development
strategies.
aim
this
study
analyze
mechanism
communication
competence
influencing
small-scale
facing
technological
disruptions.
Data
345
were
obtained
survey
conducted
Bogor
Regency,
Indonesia.
Partial
least
squares
structural
equation
modeling
method
was
applied
test
hypothetical
model.
findings
showed
motivation
has
positive
significant
relationship
knowledge
skills.
In
addition,
skills
have
statistically
impact
on
adaptive
performance
farmers,
as
improve
through
increased
involvement
participation.
This
contributes
micro-analysis
perspective
providing
relevant
implications
policymakers
an
effort
produce
who
competencies
Language: Английский
Digitalization in AgriEngineering 5.0
Lecture notes in mechanical engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 449 - 462
Published: Jan. 1, 2025
Towards the Development of eXplainable Digital Twins for Precision Agriculture
Published: Aug. 2, 2024
Language: Английский
Building a Sustainable Development Education System for Large Organizations Based on Artificial Intelligence of Things
Journal of Organizational and End User Computing,
Journal Year:
2024,
Volume and Issue:
36(1), P. 1 - 19
Published: Nov. 29, 2024
This
paper
proposes
building
a
sustainable
development
computing
system
for
large
organizations
based
on
AI
and
IoT.
The
leverages
to
calculate
the
carbon
emissions
caused
by
organizations'
activities
utilizes
IoT
devices
monitor
compute
environmental
coefficients.
also
employs
automated
achieve
net-zero
emissions.
By
integrating
weather
forecast
information
from
meteorological
agencies
understand
external
conditions,
consulting
knowledge
database
devise
appropriate
response
strategies,
can
activate
relevant
equipment
improve
both
organization's
living
environment
emission
processes.
feasibility
practical
application
of
this
will
be
demonstrated
through
actual
simulations
enhance
its
viability
effectiveness.
Language: Английский