Journal of Management Analytics,
Год журнала:
2023,
Номер
10(2), С. 359 - 415
Опубликована: Апрель 3, 2023
Industry
4.0
brings
revolutionary
changes
to
farming
businesses
by
integrating
emerging
technologies
such
as
the
Internet
of
things
(IoT),
big
data
analytics
(BDA),
cloud
computing
(CC),
and
artificial
intelligence
(AI).
These
Emerging
are
potential
enablers
data-driven
smart
farming.
Realizing
importance
agriculture,
we
provide
a
complete
picture
current
literature
in
agriculture
using
review
classification
framework
divided
into
four
categories:
(i)
Smart
Farming
Activities,
(ii)
BDA
Levels,
(iii)
Models,
(iv)
Techniques.
This
work
uses
preferred
reporting
items
for
systematic
reviews
(PRISMA)
methodology
on
intelligent
A
total
90
papers
have
been
identified,
content
analysis
was
conducted
mine
knowledge
domain
2011–2022.
The
primary
intention
this
is
clarify
most
prominent
activity,
level
analytics,
models,
techniques
Finally,
findings
our
discussed,
suggestions
addressed
further
research.
Comprehensive Reviews in Food Science and Food Safety,
Год журнала:
2023,
Номер
22(6), С. 4378 - 4403
Опубликована: Авг. 21, 2023
Abstract
The
egg
is
considered
one
of
the
best
sources
dietary
protein,
and
has
an
important
role
in
human
growth
development.
With
increase
world's
population,
per
capita
consumption
also
increasing.
Ground‐breaking
technological
developments
have
led
to
numerous
inventions
like
Internet
Things
(IoT),
various
optical
sensors,
robotics,
artificial
intelligence
(AI),
big
data,
cloud
computing,
transforming
conventional
industry
into
a
smart
sustainable
industry,
known
as
Egg
Industry
4.0
(EI
4.0).
EI
concept
potential
improve
automation,
enhance
biosecurity,
promote
safeguarding
animal
welfare,
intelligent
grading
quality
inspection,
efficiency.
For
transformation,
it
analyze
available
technologies,
latest
research,
existing
limitations,
prospects.
This
review
examines
non‐destructive
sensing
technologies
for
industry.
It
provides
information
insights
on
different
components
4.0,
including
emerging
production,
grading.
Furthermore,
drawbacks
current
workarounds,
future
trends
were
critically
analyzed.
can
help
policymakers,
industrialists,
academicians
better
understand
integration
automation.
productivity,
control,
optimize
resource
management
toward
development
Scientific African,
Год журнала:
2023,
Номер
21, С. e01798 - e01798
Опубликована: Июль 7, 2023
Every
nation's
economic
development
depends
heavily
on
agriculture.
Fulfilling
the
current
population's
need
for
food
is
becoming
increasingly
difficult
because
of
factors
including
population
growth,
frequent
climate
change,
and
a
lack
resources.
However,
agriculture
sector's
biggest
problems
are
trained
workers,
urbanization,
available
labour.
Automation
in
essential
to
provide
food,
fibre,
fuels
rapidly
growing
population.
Since
harvesting
critical
step
farming,
authors
present
systematic
review
machine
vision
systems
artificial
intelligence
algorithms
detecting
agricultural
produce
this
article.
The
areas
that
being
concentrated
include
systems,
sensors,
different
image
processing
utilized
detection
harvesting.
Review
various
types
sensors
used
automated
It
demonstrates
how
several
3D
methods,
which
were
obtain
position,
orientation,
point
cloud
fruit
or
crop,
function
compare
them.
Furthermore,
it
compares
deployed
precision
This
article
shows
knowledge-based
can
boost
quality.
Trends in Plant Science,
Год журнала:
2023,
Номер
29(2), С. 130 - 149
Опубликована: Авг. 28, 2023
The
cyber-agricultural
system
(CAS)
represents
an
overarching
framework
of
agriculture
that
leverages
recent
advances
in
ubiquitous
sensing,
artificial
intelligence,
smart
actuators,
and
scalable
cyberinfrastructure
(CI)
both
breeding
production
agriculture.
We
discuss
the
progress
perspective
three
fundamental
components
CAS
-
modeling,
actuation
emerging
concept
agricultural
digital
twins
(DTs).
also
how
CI
is
becoming
a
key
enabler
In
this
review
we
shed
light
on
significance
revolutionizing
crop
by
enhancing
efficiency,
productivity,
sustainability,
resilience
to
changing
climate.
Finally,
identify
underexplored
promising
future
directions
for
research
development.
Journal of Management Analytics,
Год журнала:
2023,
Номер
10(2), С. 359 - 415
Опубликована: Апрель 3, 2023
Industry
4.0
brings
revolutionary
changes
to
farming
businesses
by
integrating
emerging
technologies
such
as
the
Internet
of
things
(IoT),
big
data
analytics
(BDA),
cloud
computing
(CC),
and
artificial
intelligence
(AI).
These
Emerging
are
potential
enablers
data-driven
smart
farming.
Realizing
importance
agriculture,
we
provide
a
complete
picture
current
literature
in
agriculture
using
review
classification
framework
divided
into
four
categories:
(i)
Smart
Farming
Activities,
(ii)
BDA
Levels,
(iii)
Models,
(iv)
Techniques.
This
work
uses
preferred
reporting
items
for
systematic
reviews
(PRISMA)
methodology
on
intelligent
A
total
90
papers
have
been
identified,
content
analysis
was
conducted
mine
knowledge
domain
2011–2022.
The
primary
intention
this
is
clarify
most
prominent
activity,
level
analytics,
models,
techniques
Finally,
findings
our
discussed,
suggestions
addressed
further
research.
