Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 23 - 40
Опубликована: Ноя. 29, 2024
The
integration
of
robotics
and
artificial
intelligence
(AI)
is
transforming
industries,
enhancing
efficiency,
safety,
productivity.
This
chapter
explores
the
impact
autonomous
systems
across
various
sectors,
including
manufacturing,
healthcare,
transportation,
agriculture.
convergence
AI
enables
adaptive
to
perform
complex
tasks
independently,
driving
innovation
reshaping
business
operations.
Machine
learning,
computer
vision,
sensor
fusion
empower
robots
learn
from
data,
recognize
patterns,
interact
with
humans.
Successful
applications
include
self-driving
cars,
robotic-assisted
surgery,
precision
farming,
smart
home
devices.
However,
challenges
persist,
such
as
reliability,
ethics,
data
privacy,
complexity
implementation.
As
continue
evolve,
they
will
drive
sustainable
practices,
optimize
resource
use,
encourage
interdisciplinary
collaboration.
Future
research
should
focus
on
developing
robust
algorithms,
safety
protocols,
establishing
ethical
guidelines.
Advances in medical diagnosis, treatment, and care (AMDTC) book series,
Год журнала:
2024,
Номер
unknown, С. 501 - 524
Опубликована: Авг. 9, 2024
Artificial
intelligence
(AI)
is
revolutionizing
the
field
of
food
safety
by
providing
advanced
tools
and
techniques
to
ensure
integrity
supply
chain.
This
chapter
delves
into
applications
AI
in
safety,
highlighting
how
technologies,
including
machine
learning,
computer
vision,
predictive
analytics,
are
employed
detect
contaminants,
prevent
foodborne
illnesses,
compliance
with
standards.
The
authors
explore
various
AI-driven
approaches
for
real-time
monitoring,
data
analysis,
risk
assessment
within
industry.
Case
studies
examples
from
real-world
implementations
demonstrate
effectiveness
identifying
potential
hazards
improving
overall
protocols.
By
integrating
practices,
this
illustrates
transformative
intelligent
systems
safeguarding
public
health
enhancing
reliability
products.
Smart Agricultural Technology,
Год журнала:
2024,
Номер
8, С. 100517 - 100517
Опубликована: Июль 29, 2024
As
per
the
FAO,
insect
pest
causes
30
to
40
percent
loss
every
year
across
globe.
The
identification,
classification
and
management
of
is
very
important
avoid
significant
loss.
Practicing
above
process
by
adopting
manual
methods
are
time
consuming
less
effective
achieve
task.
traditional
often
fall
short
in
addressing
dynamic
behaviours,
resulting
crop
losses
increased
chemical
usage.
Therefore,
adoption
Artificial
Intelligence
(AI)
techniques
identification
act
as
a
good
substitute
that
arises
from
challenges
posed
evolving
populations
desire
for
sustainable
agricultural
practices.
AI
offers
transformative
approach
utilizing
advanced
algorithms
analyse
intricate
data
patterns
numerous
sources
like
sensors
imagery.
This
enables
accurate
early
detection,
predictive
modelling,
enhancing
decision-making
control,
minimizing
indiscriminate
pesticide
application
optimizing
interventions.
not
only
reduces
economic
but
also
promotes
eco-friendly
strategies
efficient
resilient
systems.
present
review
an
endeavour
explain
intermingling
future
scope
management.
Food
security
is
a
fundamental
global
concern,
where
severe
consequences
may
lead
towards
hunger
and
malnutrition.
To
intricate
novel
paradigm-shifting
tactics
correlating
artificial
intelligence
agriculture,
the
primary
focus
should
rely
on
predominant
real-life
implementation
of
AI
research
models
addressing
food
safety
challenges.
Artificial
postulates
noteworthy
improving
precision
agriculture
models,
crop-disease
management,
postharvest
loss
reduction,
smart
inventory
execution
quality
assurance
routes.
It
estimated
that
future
impact
will
ominously
increase
providing
better
nutrition
utilizing
minimum
agri-resources.
Present
study
underlines
influence
in
transforming
sustainable
by
minimizing
developing
predictive
focused
forecast
following
assorted
socio-economic
environmental
dynamics.
The
field
practically
vast
its
nutritional
holds
central
potential
bridging
comprehensive
awareness
gap
for
revolutionizing
sustainability
around
globe.
From
seed
to
fork
robust
deep-learning
systemic
powered
innovation
enhance
opportunities
reshaping
industry
creating
resilient
strategic
transformation
climate
change
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.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 187 - 212
Опубликована: Фев. 7, 2025
In
a
world
where
sustainability
has
been
given
utmost
priority,
agriculture
plays
pivotal
role.
Artificial
Intelligence
in
the
agricultural
sector
changed
landscape
of
across
globe.
‘Agvolution'
(evolution
agriculture)
including
AI
supported
precision
farming
methods,
data
analytics,
and
robotics
is
novel
strategy
which
increases
crop
yields
using
less
fertilizers,
energy.
supports
ethical
farming,
boost
revenue,
lessen
negative
environmental
effects.
systems
aggregate
from
weather
stations,
sensors,
satellites
to
produce
improved
forecasts.
This
mechanism
enhances
sustainability.
Despite
numerous
advantages
with
AI,
community
face
challenges
like
security
privacy,
high
cost
machines
tools.
light
above,
authors
explore
usage
attain
sustainability,
analyze
need
establish
governance
structures
for
increasing
food
overcome
faced
by
farmers.
Philosophies,
Год журнала:
2025,
Номер
10(1), С. 19 - 19
Опубликована: Фев. 3, 2025
Intelligent
machines
(IMs),
which
have
demonstrated
remarkable
innovations
over
time,
require
adequate
attention
concerning
the
issue
of
their
duty–rights
split
in
our
current
society.
Although
we
can
remain
optimistic
about
IMs’
societal
role,
must
still
determine
legal-philosophical
sense
accountability,
as
living
data
bits
begun
to
pervade
lives.
At
heart
IMs
are
human
characteristics
used
self-optimize
practical
abilities
and
broaden
impact.
We
Kant’s
philosophical
requirements
investigate
moral
dispositions,
merging
humans
with
technology
has
overwhelmingly
shaped
psychological
corporeal
agential
capacities.
In
recognizing
continuous
burden
needs,
important
features
regarding
inalienability
rights
increased
individuality
intelligent,
nonliving
beings,
leading
them
transition
from
questioning
defending
own
rights.
This
been
recognized
by
paying
rational
capacities
IMs,
connected
order
achieve
a
common
goal.
Through
this
teleological
scheme,
formulate
concept
virtual
dignity
inalienable
machines,
wherein
evolution
is
essentially
imbued
through
consensuses
virtuous
traits
associated
dignity.
