Advances in environmental engineering and green technologies book series,
Год журнала:
2023,
Номер
unknown, С. 210 - 227
Опубликована: Авг. 18, 2023
Conversational
AI
is
the
most
trending
technology
in
recent
years.
It's
not
just
a
buzzword
anymore,
it
here
to
stay
and
will
continue
grow
as
more
people
become
aware
of
its
benefits.
This
can
greatly
help
farmers
other
agricultural
workers
by
giving
them
information.
By
leveraging
chatbots,
virtual
assistants,
voice-based
interfaces,
addresses
challenges
accessing
timely
accurate
It
enables
early
detection
crop
diseases,
provides
real-time
market
prices,
weather
forecasts,
aids
soil
health
monitoring.
Furthermore,
assists
farm
equipment
maintenance,
streamlines
access
government
schemes,
fosters
knowledge
sharing
among
farmers.
Additionally,
be
utilized
for
data
collection
analysis,
supporting
precision
agriculture
practices.
The
integration
ML,
analytics,
IoT
devices
enhances
accuracy
insights
derived
from
collected
data.
Its
transformative
potential
contributes
sustainable
growth
agriculture,
ensuring
food
security
empowering
prosperous
future.
Frontiers in Sustainable Food Systems,
Год журнала:
2023,
Номер
7
Опубликована: Июль 18, 2023
Providing
food
has
become
more
complex
because
of
climate
change
and
other
environmental
societal
stressors,
such
as
political
instability,
the
growth
in
world
population,
outbreaks
new
diseases,
especially
COVID-19
pandemic.
In
response
to
these
challenges,
agri-food
industry
increased
its
efforts
shift
using
digital
tools
advanced
technologies.
The
transition
toward
been
part
fourth
industrial
revolution
(called
Industry
4.0)
innovations
that
have
are
reshaping
most
industries.
This
literature
review
discusses
potential
implementing
technologies
industry,
focusing
heavily
on
role
pandemic
fostering
adoption
greater
digitalization
supply
chains.
Examples
use
for
various
applications,
barriers
challenges
will
be
highlighted.
trend
solutions
gained
momentum
since
advent
4.0
implementations
accelerated
by
outbreak
Important
technology
enablers
high
mitigating
negative
effects
both
current
global
health
crisis
systems
include
artificial
intelligence,
big
data,
Internet
Things,
blockchain,
smart
sensors,
robotics,
twins,
virtual
augmented
reality.
However,
much
remains
done
fully
harness
power
achieve
widespread
implementation
agriculture
Sustainable Cities and Society,
Год журнала:
2024,
Номер
106, С. 105357 - 105357
Опубликована: Март 18, 2024
With
the
growing
urbanized
population,
vertical
farming
becomes
indispensable
in
eradicating
hunger
and
ensuring
food
security
for
future.
Food
has
become
a
major
challenge
future
owing
to
scarcity
of
land,
rising
global
urbanization,
polluted
soil
water
resources.
In
this
scenario,
as
an
innovative
production
technology
caters
increased
productivity
with
limited
resources
improved
carbon
footprint.
The
review
begins
brief
introduction
concept
farming,
its
opportunities
implications
on
economy,
environment,
society
whole,
following
in-depth
qualitative
analysis
cutting-edge
innovations/technologies
are
presented
detail.
Contrary
numerous
research
focusing
mere
economic
viability
statistical
analysis,
aim
is
introduce
real
technologies
that
address
challenges
farms
such
lack
technical
skills
or
energy
requirements.
recent
advances
includes
construction
outer
structure
shelves
using
light
weight
transparent
polymer
composites,
engineered
tunable
LEDs
lightings,
3-D
printed
recyclable
substrates,
AI-integrated
IoTs
environment
control,
harvesting
materials
renewable
storage
etc.
Such
material
innovations
inclusion
AI
robotics
transform
automated
into
'state
art'
agricultural
technology.
Production
shelf
fabricated
UV
cured
GBOV-glass
fiber
composite
60%
transparency
can
overcome
limitation,
corrosion,
obstructions
associated
conventional
steel
shelves.
Replacing
non-renewable
fossil
fuels
harvested
dots,
florescent
materials,
perovskite
solar
cells
recommended
minimize
high
capital
investments
well
reduce
environmental
impact.
Smart
phase
change
thermoresponsive
windows
control
amount
expended
whereas
smart
substrate
promotes
resource
management.
Application
newest
facilitates
precise
early
pest
detection,
automation
processes,
data-driven
decision
making
precision
agriculture.
short,
utilizing
modern
science
enhanced
productivity,
quality,
reduced
cost,
management
sustainability.
Hence,
sustainable
promoting
circularity
have
potential
burgeoning
Horticulturae,
Год журнала:
2024,
Номер
10(1), С. 49 - 49
Опубликована: Янв. 4, 2024
This
review
article
conducts
an
in-depth
analysis
of
the
role
next-generation
technologies
in
soilless
vegetable
production,
highlighting
their
groundbreaking
potential
to
revolutionize
yield,
efficiency,
and
sustainability.
These
technologies,
such
as
AI-driven
monitoring
systems
precision
farming
methods,
offer
unparalleled
accuracy
critical
variables
nutrient
concentrations
pH
levels.
However,
paper
also
addresses
multifaceted
challenges
that
hinder
widespread
adoption
these
technologies.
The
high
initial
investment
costs
pose
a
significant
barrier,
particularly
for
small-
medium-scale
farmers,
thereby
risking
creation
technological
divide
industry.
Additionally,
technical
complexity
demands
specialized
expertise,
potentially
exacerbating
knowledge
gaps
among
farmers.
Other
considerations
are
scrutinized,
including
data
privacy
concerns
job
displacement
due
automation.
Regulatory
challenges,
international
trade
regulations
policy
frameworks,
discussed,
they
may
need
revision
accommodate
new
concludes
by
emphasizing
while
sustainable
transformative
benefits,
broad
is
constrained
complex
interplay
financial,
technical,
regulatory,
social
factors.
Information,
Год журнала:
2025,
Номер
16(2), С. 100 - 100
Опубликована: Фев. 2, 2025
The
integration
of
cutting-edge
technologies—such
as
the
Internet
Things
(IoT),
artificial
intelligence
(AI),
machine
learning
(ML),
and
various
emerging
technologies—is
revolutionizing
agricultural
practices,
enhancing
productivity,
sustainability,
efficiency.
objective
this
study
is
to
review
literature
regarding
development
evolution
AI
well
other
technologies
in
fields
Agriculture
they
are
developed
transformed
by
integrating
above
technologies.
areas
examined
open
field
smart
farming,
vertical
indoor
zero
waste
agriculture,
precision
livestock
greenhouses,
regenerative
agriculture.
This
paper
links
current
research,
technological
innovations,
case
studies
present
a
comprehensive
these
being
context
for
benefit
farmers
consumers
general.
By
exploring
practical
applications
future
perspectives,
work
aims
provide
valuable
insights
address
global
food
security
challenges,
minimize
environmental
impacts,
support
sustainable
goals
through
application
new
Horticulturae,
Год журнала:
2025,
Номер
11(2), С. 212 - 212
Опубликована: Фев. 17, 2025
Metropolitan
areas
increasingly
confront
complex
challenges
related
to
food
security,
social
inequality,
environmental
degradation,
and
resource
scarcity,
exacerbated
by
rapid
urbanization,
climate
change,
the
reliance
on
extended,
fragile
supply
chains.
Urban
peri-urban
agriculture
(UPA)
is
recognized
as
a
promising
approach
mitigate
these
issues.
For
example,
it
enhances
security
nutrition
strengthening
local
systems,
improves
livelihoods
providing
employment
income
for
residents,
promotes
sustainability
through
creation
of
greening
spaces
reduction
miles.
However,
full
potential
UPA
remains
constrained
various
technological,
economic,
barriers,
such
limited
growing
spaces,
lack
land
tenure
low
economic
efficiency,
insufficient
public
awareness
acceptance.
Given
that
technological
innovations
are
critical
in
overcoming
barriers
maximizing
positive
impacts
UPA,
this
review
provides
state-of-the-art
overview
advanced
technologies
tools
applicable
aiming
inform
how
can
be
better
enabled
enhance
UPA’s
contributions
sustainable
urban
systems.
The
begins
defining
categorizing
its
forms,
exploring
multifunctional
roles
within
contexts.
It
then
presents
thorough
analysis
range
serve
specific
purposes,
including
productivity
product
quality
improvement,
space
utilization
optimization,
recycling,
use
management.
Furthermore,
evaluates
current
faced
throughout
stages
research
development
(R&D),
dissemination
extension,
application
commercialization,
employing
an
analytical
framework
adapted
from
Technology
Life
Cycle
theories.
In
conclusion,
emphasizes
crucial
relevant
play
transforming
systems
environments.
proposes
four
key
recommendations:
(1)
enhancing
funding
mechanisms
fostering
interdisciplinary
collaboration
R&D,
(2)
technology
(3)
promoting
feasibility
market
integration
business
models,
(4)
establishing
supportive
environments
among
all
stakeholders
innovation
process.
These
targeted
strategies
essential
scaling
technologies,
thereby
sustainability,
socio-economic
resilience
metropolitan
areas.
Horticulturae,
Год журнала:
2023,
Номер
9(11), С. 1229 - 1229
Опубликована: Ноя. 15, 2023
Vertical
farming
has
emerged
as
a
promising
solution
to
cope
with
increasing
food
demand,
urbanization
pressure,
and
limited
resources
ensure
sustainable
year-round
urban
agriculture.
The
aim
of
this
review
was
investigate
the
evolving
technological
landscape
engineering
considerations,
focus
on
innovative
developments
future
prospects.
This
paper
presents
trends
in
vertical
farming,
covering
advances
sensing
technologies,
monitoring
control
systems,
unmanned
systems.
It
also
highlights
growing
role
artificial
intelligence
(AI)
contributing
data-driven
decision-making
optimization
farms.
A
global
perspective
is
presented,
including
current
status
advanced
across
regions
like
Asia,
USA,
Europe.
Innovative
concepts
upcoming
enterprises
that
could
shape
agriculture
are
explored.
Additionally,
challenges
prospects
addressed,
focusing
crop
production
limitations,
environmental
sustainability,
economic
feasibility,
contributions
security.
provides
guidance
state
advancements,
trends,
challenges,
prospects,
offering
insights
into
roles
researchers,
practitioners,
policymakers
advancing
Agronomy,
Год журнала:
2024,
Номер
14(2), С. 259 - 259
Опубликована: Янв. 25, 2024
As
the
global
population
is
expected
to
reach
10
billion
by
2050,
agricultural
sector
faces
challenge
of
achieving
an
increase
60%
in
food
production
without
using
much
more
land.
This
paper
explores
potential
Artificial
Intelligence
(AI)
bridge
this
“land
gap”
and
mitigate
environmental
implications
land
use.
Typically,
problem
with
AI
such
sectors
need
for
specific
infrastructure
enable
developers
design
ML
engineers
deploy
these
AIs.
It
is,
therefore,
essential
develop
dedicated
infrastructures
apply
models
that
optimize
resource
extraction
sector.
article
presents
execution
development
AI-based
open-source
technology,
has
been
optimized
tuned
environments.
By
embracing
MLOps
culture,
automation
model
processes
promoted,
ensuring
efficient
workflows,
fostering
collaboration
among
multidisciplinary
teams,
promoting
rapid
deployment
AI-driven
solutions
adaptable
changing
field
conditions.
The
proposed
architecture
integrates
state-of-the-art
tools
cover
entire
lifecycle,
enabling
workflows
data
scientists
engineers.
Considering
nature
field,
it
also
supports
diverse
IoT
protocols,
communication
between
sensors
running
multiple
simultaneously,
optimizing
hardware
utilization.
Surveys
specifically
designed
conducted
professionals
related
show
promising
results.
These
findings
demonstrate
helps
close
gap
engineers,
easing
them
simplifying
their
work
through
whole
lifecycle.
Heliyon,
Год журнала:
2024,
Номер
10(15), С. e34998 - e34998
Опубликована: Июль 23, 2024
The
substantial
increase
in
the
human
population
dramatically
strains
food
supplies.
Farmers
need
healthy
soil
and
natural
minerals
for
traditional
farming,
production
takes
a
little
longer
time.
soil-free
farming
method
known
as
vertical
(VF)
requires
small
land
consumes
very
amount
of
water
than
conventional
soil-dependent
techniques.
With
modern
technologies
like
hydroponics,
aeroponics,
aquaponics,
notion
VF
appears
to
have
promising
future
urban
areas
where
is
expensive
scarce.
faces
difficulty
simultaneous
monitoring
multiple
indicators,
nutrition
advice,
plant
diagnosis
systems.
However,
these
issues
can
be
resolved
by
implementing
current
technical
advancements
artificial
intelligence
(AI)-based
control
techniques
such
machine
learning
(ML),
deep
(DL),
internet
things
(IoT),
image
processing
well
computer
vision.
This
article
presents
thorough
analysis
ML
IoT
applications
system.
on
which
attention
concentrated
include
disease
detection,
crop
yield
prediction,
nutrition,
irrigation
management.
In
order
predict
diseases,
vision
technique
investigated
view
classification
distinct
collections
images.
also
illustrates
IoT-based
systems
that
raise
product
quality
over
long
term.
Assessment
evaluation
knowledge-based
system
been
outlined
with
potential
outcomes,
advantages,
limitations
Sustainability,
Год журнала:
2023,
Номер
15(5), С. 4396 - 4396
Опубликована: Март 1, 2023
Vertical
farming
methods
are
gaining
importance
in
the
current
era
of
urbanization
and
industrialization
5.0.
These
enhance
sustainability
by
consuming
less
space
reducing
carbon
emissions
greenhouse
gas
emissions.
The
Green
Internet
Things
(G-IoT)
offers
greater
environmental
switching
to
a
dormant
mode
while
not
use,
thereby
energy.
Each
method
has
different
effect
on
shoot
root
growth
plants.
Thus,
dedicated
must
be
identified
for
each
crop
according
type
under
consideration.
This
leads
need
compare
analyze
as
well
trends
crops
cultivation
mediums,
using
methods,
identifying
most
suitable
crop.
A
comparative
analysis
barley
green
IoT-embedded
hydroponics
substrate
shown
that
exhibits
two
times
more
than
cultivation.
Furthermore,
results
were
verified
against
obtained
from
simulator,
which
confirmed
hydroponic
produced
year-round
qualitative
product
with
17.112
tons
biomass
8.556
dry
yield.