JURNAL BUDIDAYA PERTANIAN,
Год журнала:
2023,
Номер
19(2), С. 124 - 136
Опубликована: Дек. 30, 2023
Modern
agriculture
relies
heavily
on
technology,
especially
in
irrigation
management
and
crop
watering.
Several
previous
studies
have
applied
field
data-based
predictive
techniques
to
improve
yields.
This
research
aims
develop
a
prediction
system
for
optimal
watering
time
plantations
using
machine
learning
approach.
The
rigorous
methodology
includes
data
capture,
pre-processing,
model
evaluation
testing,
validation,
visualization.
High
accuracy
demonstrates
the
system's
reliability
determining
needs
resource
efficiency
yields
agriculture.
obtained
from
automatic
weather
station
(AWS)
via
thingsboard
is
processed
sequentially,
starting
retrieval
json
format
postman
transformation
into
csv
files
with
proper
timestamp
adjustment.
pre-processing
stage
cleaning,
variable
selection,
integration,
generating
clean
dataset.
In
stage,
dataset
divided
training
test
data,
application
comparison
of
logistic
regression,
random
forest
decision
tree
models
as
classifiers.
Furthermore,
validation
results
prediction,
performance
testing
confusion
matrix,
visualization
form
text
icons
that
aim
increase
interpetability
users
through
Google
Collaboratory.
this
provide
an
overview
based
station.
Further
analysis
shows
implementation
significantly
improves
accuracy,
proving
effectiveness
providing
more
precise
recommendations
agricultural
productivity.
main
objective
learning-based
evaluate
various
classifier
algorithms
select
best
model.
Sensors,
Год журнала:
2024,
Номер
24(13), С. 4157 - 4157
Опубликована: Июнь 26, 2024
The
integration
of
artificial
intelligence
(AI)
and
the
Internet
Things
(IoT)
in
agriculture
has
significantly
transformed
rural
farming.
However,
adoption
these
technologies
also
introduced
privacy
security
concerns,
particularly
unauthorized
breaches
cyber-attacks
on
data
collected
from
IoT
devices
sensitive
information.
present
study
addresses
concerns
by
developing
a
comprehensive
framework
that
provides
practical,
privacy-centric
AI
solutions
for
monitoring
smart
farms.
This
is
performed
designing
includes
three-phase
protocol
secures
exchange
between
User,
Sensor
Layer,
Central
Server.
In
proposed
protocol,
Server
responsible
establishing
secure
communication
channel
verifying
legitimacy
User
securing
using
rigorous
cryptographic
techniques.
validated
Automated
Validation
Security
Protocols
Applications
(AVISPA)
tool.
formal
analysis
confirms
robustness
its
suitability
real-time
applications
IoT-enabled
farms,
demonstrating
resistance
against
various
attacks
enhanced
performance
metrics,
including
computation
time
0.04
s
11
messages
detailed
search
where
119
nodes
were
visited
at
depth
12
plies
mere
0.28
s.
Future Internet,
Год журнала:
2025,
Номер
17(1), С. 40 - 40
Опубликована: Янв. 17, 2025
In
the
area
of
agriculture
and
livestock
management,
integration
Internet
Things
(IoT)
has
emerged
as
a
groundbreaking
strategy
to
enhance
operational
efficiency
advance
intelligent
process
management.
However,
this
sector
faces
significant
challenges,
including
ambiguity
in
product
origins
limited
regulatory
oversight
IoT
devices.
This
paper
explores
innovative
blockchain
technology
within
agricultural
IoT,
highlighting
how
convergence
significantly
enhances
security
transparency.
We
provide
an
in-depth
review
latest
applications
advancements
these
domains,
offering
comprehensive
analysis
current
state
its
implications.
Furthermore,
discusses
potential
future
development
trajectories
emphasizing
blockchain’s
role
addressing
challenges
shaping
innovations.
The
findings
suggest
that
not
only
improves
data
trustworthiness
but
also
opens
new
avenues
for
efficient
transparent
management
animal
husbandry.
Computers,
Год журнала:
2025,
Номер
14(1), С. 20 - 20
Опубликована: Янв. 8, 2025
Blockchain
technology
is
an
emerging
decentralized
and
distributed
that
can
maintain
data
security.
It
has
the
potential
to
transform
many
sectors
completely.
The
core
component
of
blockchain
networks
consensus
algorithm
because
its
efficiency,
security,
scalability
depend
on
it.
A
problem
a
difficult
significant
task
must
be
considered
carefully
in
network.
several
practical
applications
such
as
computing,
load
balancing,
transaction
validation.
Even
though
lot
algorithms
have
been
proposed,
majority
them
require
computational
communication
resources.
Similarly,
they
also
suffer
from
high
latency
low
throughput.
In
this
work,
we
proposed
new
for
consortium
leader
selection
using
reputation
value
nodes
voting
process
ensure
performance.
security
analysis
conducted
demonstrate
algorithm.
outcomes
show
provides
strong
defense
against
network
nodes’
abnormal
behavior.
performance
performed
by
Hyperledger
Fabric
v2.1
results
it
performs
better
terms
throughput,
latency,
CPU
utilization,
communications
costs
than
rivals
Trust-Varying
Algo,
FP-BFT,
Scalable
Trust-based
algorithms.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 31 - 50
Опубликована: Янв. 3, 2025
Incorporating
Artificial
Intelligence
(AI),
the
Internet
of
Things
(IoT),
and
Big
Data
is
reimagining
food
agriculture
sector
provides
a
three-dimensional
effect
on
productivity,
sustainability,
resource
management.
However,
bottom-line
impact
that
interconnectedness
AI-driven
analytic
predictions
combined
with
innovative
farming
technologies
enabled
by
IoT
can
only
bring
forth
better
decision-making
reduce
wastage,
creating
an
answer
for
security
needs.
Furthermore,
big
data
analytics
allows
real-time
market
consumer
behavior
tracking,
providing
businesses
more
transparent
picture.
The
chapter
comprehensively
understands
these
technologies,
highlighting
their
applications
in
climate
resilience,
precision
agriculture,
sustainable
practices.
It
also
analyzes
ethical
regulatory
dilemmas
transformations
pose.
offers
conceptual
approach
balancing
risks
while
implementing
them
to
strengthen
long-term
agricultural
sustainability
global
security.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 397 - 414
Опубликована: Фев. 28, 2025
Precision
agroforestry
is
a
novel
farming
system
that
adopts
remote
sensing
data,
Geographic
Information
Systems
(GIS),
still
GPS
technology
and
Soil
out
there
to
manage
land
additional
efficiently
mid-roll
false
setting
up
congenial
growing
conditions
for
plants.
There
are
emerging
technological
innovations
which
explores
precision
by
uniquely
focusing
on
digital
tools
i.e.,
twins,
big
data
analytics,
machine
learning.
Utilizing
these
technologies
enables
farmers
maximize
their
use
of
resources,
while
optimizing
crop
yields
advancing
ecological
health.
With
global
food
demands
increasing
pressures
the
environmental
greater,
this
new
study
highlights
importance
stakeholders
working
together
solve
current
issues
foster
sustainable
through
practices.
Ultimately,
an
essential
paradigm
achieving
management
reconciles
agricultural
productivity
with
stewardship
transformative
agriculture
solution
all
time.
PLoS ONE,
Год журнала:
2023,
Номер
18(9), С. e0291596 - e0291596
Опубликована: Сен. 21, 2023
Intelligent
Transport
System
(ITS)
offers
inter-vehicle
communication,
safe
driving,
road
condition
updates,
and
intelligent
traffic
management.
This
research
intends
to
propose
a
novel
decentralized
“BlockAuth”
architecture
for
vehicles,
authentication,
authorization,
traveling
across
the
border.
It
is
required
because
existing
architects
rely
on
single
Trusted
Authority
(TA)
issuing
certifications,
which
can
jeopardize
privacy
system
integrity.
Similarly,
centralized
TA,
if
failed,
cause
whole
collapse.
Furthermore,
unique
“Proof
of
Authenticity
Integrity”
process
proposed,
redirecting
drivers/vehicles
their
home
country
ensuring
security
credentials.
Implemented
with
Hyperledger
Fabric,
BlockAuth
ensures
secure
vehicle
authentication
authorization
minimal
computational
overhead,
under
2%.
it
opens
up
global
access,
enforces
principles
separation
duty
least
privilege,
reinforces
resilience
via
decentralization
automation.
