Future Internet,
Journal Year:
2022,
Volume and Issue:
14(9), P. 250 - 250
Published: Aug. 24, 2022
The
Internet
of
Things
(IoT)
has
rapidly
progressed
in
recent
years
and
immensely
influenced
many
industries
how
they
operate.
Consequently,
IoT
technology
improved
productivity
sectors,
smart
farming
also
hugely
benefited
from
the
IoT.
Smart
enables
precision
agriculture,
high
crop
yield,
efficient
utilization
natural
resources
to
sustain
for
a
longer
time.
includes
sensing
capabilities,
communication
technologies
transmit
collected
data
sensors,
analytics
extract
meaningful
information
data.
These
modules
will
enable
farmers
make
intelligent
decisions
gain
profits.
However,
incorporating
new
inheriting
security
privacy
consequences
if
are
not
implemented
secure
manner,
is
an
exception.
Therefore,
monitoring
essential
component
be
farming.
In
this
paper,
we
propose
cloud-enabled
smart-farm
framework
monitor
device
status
sensor
anomalies
effectively
mitigate
attacks
using
behavioral
patterns.
Additionally,
blockchain-based
smart-contract
application
was
securely
store
security-anomaly
proactively
similar
targeting
other
farms
community.
We
security-monitoring-framework
prototype
Arduino
Sensor
Kit,
ESP32,
AWS
cloud,
contract
on
Ethereum
Rinkeby
Test
Network
evaluated
network
latency
respond
events.
performance
evaluation
proposed
showed
that
our
solution
could
detect
within
real-time
processing
time
update
farm
nodes
aware
situation.
Computers and Electronics in Agriculture,
Journal Year:
2022,
Volume and Issue:
198, P. 107017 - 107017
Published: May 18, 2022
Drones,
also
called
Unmanned
Aerial
Vehicles
(UAV),
have
witnessed
a
remarkable
development
in
recent
decades.
In
agriculture,
they
changed
farming
practices
by
offering
farmers
substantial
cost
savings,
increased
operational
efficiency,
and
better
profitability.
Over
the
past
decades,
topic
of
agricultural
drones
has
attracted
academic
attention.
We
therefore
conduct
comprehensive
review
based
on
bibliometrics
to
summarize
structure
existing
literature
reveal
current
research
trends
hotspots.
apply
bibliometric
techniques
analyze
surrounding
assess
previous
research.
Our
analysis
indicates
that
remote
sensing,
precision
deep
learning,
machine
Internet
Things
are
critical
topics
related
drones.
The
co-citation
reveals
six
broad
clusters
literature.
This
study
is
one
first
attempts
drone
agriculture
suggest
future
directions.
International Journal of Intelligent Networks,
Journal Year:
2022,
Volume and Issue:
3, P. 150 - 164
Published: Jan. 1, 2022
Agriculture
4.0
represents
the
fourth
agriculture
revolution
that
uses
digital
technologies
and
moves
toward
a
smarter,
more
efficient,
environmentally
responsible
sector.
Agricultural
have
emerged
to
enhance
sustainability
discover
effective
farm
methods.
This
encompasses
all
digitalisation
automation
processes
in
business
our
daily
lives,
including
Big
Data,
Artificial
Intelligence
(AI),
robots,
Internet
of
Things
(IoT),
virtual
augmented
reality.
These
technological
advancements
are
having
profound
impact
on
lives.
From
technical
standpoint,
it
brings
us
precision
agriculture.
provides
data-driven
strategy
for
efficiently
growing
maintaining
crops
cultivable
land,
enabling
farmers
use
most
resources
at
their
disposal.
Throughout
supply
chain,
operations
create
massive
volumes
data.
Most
this
information
was
previously
untouched,
but
with
help
big
data
technologies,
such
can
be
used
improve
performance
production
any
crop.
Depending
crop
type
its
growth
needs,
digitised
harvesters
handle
huge
areas
various
situations,
particularly
paper
is
brief
about
condition.
Smart
farming,
Various
key
specific
domains
Exploring
Domain
discussed
detail
and,
finally,
identified
significant
applications
technologies.
essential
lives
since
they
simplify
duties
without
recognising
them.
In
systems,
fleets
equipment
employ
current
infrastructures
like
cloud
computing
connect,
identify
processing
condition
different
regions
requirement
input
materials
coordinate
machinery.
Applied Sciences,
Journal Year:
2022,
Volume and Issue:
12(7), P. 3396 - 3396
Published: March 27, 2022
The
growth
of
the
global
population
coupled
with
a
decline
in
natural
resources,
farmland,
and
increase
unpredictable
environmental
conditions
leads
to
food
security
is
becoming
major
concern
for
all
nations
worldwide.
These
problems
are
motivators
that
driving
agricultural
industry
transition
smart
agriculture
application
Internet
Things
(IoT)
big
data
solutions
improve
operational
efficiency
productivity.
IoT
integrates
series
existing
state-of-the-art
technologies,
such
as
wireless
sensor
networks,
cognitive
radio
ad
hoc
cloud
computing,
data,
end-user
applications.
This
study
presents
survey
demonstrates
how
can
be
integrated
into
sector.
To
achieve
this
objective,
we
discuss
vision
IoT-enabled
ecosystems
by
evaluating
their
architecture
(IoT
devices,
communication
storage,
processing),
applications,
research
timeline.
In
addition,
trends
opportunities
applications
also
indicate
open
issues
challenges
agriculture.
We
hope
findings
will
constitute
important
guidelines
promotion
aiming
productivity
quality
sector
well
facilitating
towards
future
sustainable
environment
an
agroecological
approach.
Critical Reviews in Food Science and Nutrition,
Journal Year:
2022,
Volume and Issue:
63(23), P. 6547 - 6563
Published: Feb. 3, 2022
Climate
change,
the
growth
in
world
population,
high
levels
of
food
waste
and
loss,
risk
new
disease
or
pandemic
outbreaks
are
examples
many
challenges
that
threaten
future
sustainability
security
planet
urgently
need
to
be
addressed.
The
fourth
industrial
revolution,
Industry
4.0,
has
been
gaining
momentum
since
2015,
being
a
significant
driver
for
sustainable
development
successful
catalyst
tackle
critical
global
challenges.
This
review
paper
summarizes
most
relevant
4.0
technologies
including,
among
others,
digital
(e.g.,
artificial
intelligence,
big
data
analytics,
Internet
Things,
blockchain)
other
technological
advances
smart
sensors,
robotics,
twins,
cyber-physical
systems).
Moreover,
insights
into
trends
(such
as
3D
printed
foods)
have
emerged
result
revolution
will
also
discussed
Part
II
this
work.
significantly
modified
industry
led
substantial
consequences
environment,
economics,
human
health.
Despite
importance
each
mentioned
above,
ground-breaking
solutions
could
only
emerge
by
combining
simultaneously.
Food
era
characterized
challenges,
opportunities,
reshaped
current
strategies
prospects
production
consumption
patterns,
paving
way
move
toward
5.0.
Agronomy,
Journal Year:
2022,
Volume and Issue:
12(1), P. 127 - 127
Published: Jan. 5, 2022
With
the
rise
of
new
technologies,
such
as
Internet
Things,
raising
productivity
agricultural
and
farming
activities
is
critical
to
improving
yields
cost-effectiveness.
IoT,
in
particular,
can
improve
efficiency
agriculture
processes
by
eliminating
human
intervention
through
automation.
The
fast
Things
(IoT)-based
tools
has
changed
nearly
all
life
sectors,
including
business,
agriculture,
surveillance,
etc.
These
radical
developments
are
upending
traditional
practices
presenting
options
face
various
obstacles.
IoT
aids
collecting
data
that
useful
sector,
changes
climatic
conditions,
soil
fertility,
amount
water
required
for
crops,
irrigation,
insect
pest
detection,
bug
location
disruption
creatures
sphere,
horticulture.
enables
farmers
effectively
use
technology
monitor
their
forms
remotely
round
clock.
Several
sensors,
distributed
WSNs
(wireless
sensor
networks),
utilized
inspection
control,
which
very
important
due
exact
output
utilization.
In
addition,
cameras
keep
an
eye
on
field
from
afar.
goal
this
research
evaluate
smart
using
approaches
depth.
paper
demonstrates
applications,
benefits,
current
obstacles,
potential
solutions
agriculture.
This
system
aims
find
existing
techniques
may
be
used
boost
crop
yield
save
time,
water,
pesticides,
crop,
fertilizer
management.
Electronics,
Journal Year:
2021,
Volume and Issue:
10(11), P. 1257 - 1257
Published: May 25, 2021
Smart
Agriculture
or
Agricultural
Internet
of
things,
consists
integrating
advanced
technologies
(e.g.,
NFV,
SDN,
5G/6G,
Blockchain,
IoT,
Fog,
Edge,
and
AI)
into
existing
farm
operations
to
improve
the
quality
productivity
agricultural
products.
The
convergence
Industry
4.0
Intelligent
provides
new
opportunities
for
migration
from
factory
agriculture
future
generation,
known
as
4.0.
However,
since
deployment
thousands
IoT
based
devices
is
in
an
open
field,
there
are
many
threats
Security
researchers
involved
this
topic
ensure
safety
system
adversary
can
initiate
cyber
attacks,
such
DDoS
attacks
making
a
service
unavailable
then
injecting
false
data
tell
us
that
equipment
safe
but
reality,
it
has
been
theft.
In
paper,
we
propose
deep
learning-based
intrusion
detection
on
three
models,
namely,
convolutional
neural
networks,
recurrent
networks.
Each
model’s
performance
studied
within
two
classification
types
(binary
multiclass)
using
real
traffic
datasets,
CIC-DDoS2019
dataset
TON_IoT
dataset,
which
contain
different
attacks.
