ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(35), P. 23842 - 23875
Published: Aug. 22, 2024
Machine
learning
(ML)
using
data
sets
of
atomic
and
molecular
force
fields
(FFs)
has
made
significant
progress
provided
benefits
in
the
chemistry
material
science.
This
work
examines
interactions
between
materials
computational
science
at
scales
for
metal-organic
framework
(MOF)
adsorbent
development
toward
carbon
dioxide
(CO
Advanced Agrochem,
Journal Year:
2022,
Volume and Issue:
2(1), P. 15 - 30
Published: Oct. 28, 2022
Artificial
Intelligence
(AI)
has
been
extensively
applied
in
farming
recently.
To
cultivate
healthier
crops,
manage
pests,
monitor
soil
and
growing
conditions,
analyse
data
for
farmers,
enhance
other
management
activities
of
the
food
supply
chain,
agriculture
sector
is
turning
to
AI
technology.
It
makes
it
challenging
farmers
choose
ideal
time
plant
seeds.
helps
optimum
seed
a
particular
weather
scenario.
also
offers
on
forecasts.
AI-powered
solutions
will
help
produce
more
with
fewer
resources,
increase
crop
quality,
hasten
product
reach
market.
aids
understanding
qualities.
by
suggesting
nutrients
they
should
apply
quality
soil.
can
optimal
their
Intelligent
equipment
calculate
spacing
between
seeds
maximum
planting
depth.
An
system
known
as
health
monitoring
provides
information
crops
that
need
be
given
yield
quantity.
This
study
identifies
analyses
relevant
articles
Agriculture.
Using
AI,
now
access
advanced
analytics
tools
foster
better
farming,
improve
efficiencies,
reduce
waste
biofuel
production
while
minimising
negative
environmental
impacts.
Machine
Learning
(ML)
have
transformed
various
industries,
wave
reached
sector.
Companies
are
developing
several
technologies
make
farmers'
easier.
Hyperspectral
imaging
3D
laser
scanning
leading
AI-based
ensure
health.
These
collect
precise
greater
volume
analysis.
paper
studied
its
The
process
Agriculture
some
parameters
monitored
briefed.
Finally,
we
identified
discussed
significant
applications
agriculture.
Journal of Nanobiotechnology,
Journal Year:
2022,
Volume and Issue:
20(1)
Published: Jan. 4, 2022
Nanomaterials
(NMs)
have
received
considerable
attention
in
the
field
of
agrochemicals
due
to
their
special
properties,
such
as
small
particle
size,
surface
structure,
solubility
and
chemical
composition.
The
application
NMs
nanotechnology
dramatically
overcomes
defects
conventional
agrochemicals,
including
low
bioavailability,
easy
photolysis,
organic
solvent
pollution,
etc.
In
this
review,
we
describe
advances
pesticides
fertilizers,
which
are
two
earliest
most
researched
areas
agrochemicals.
Besides,
article
concerns
with
new
applications
other
bio-pesticides,
nucleic
acid
pesticides,
plant
growth
regulators
(PGRs),
pheromone.
We
also
discuss
challenges
industrialization
trend
Constructing
nano-agrochemical
delivery
system
via
facilitates
improvement
stability
dispersion
active
ingredients,
promotes
precise
reduces
residual
pollution
decreases
labor
cost
different
scenarios,
is
potential
maintain
sustainability
agricultural
systems
improve
food
security
by
increasing
efficacy
inputs.
Environmental Chemistry Letters,
Journal Year:
2023,
Volume and Issue:
21(5), P. 2525 - 2557
Published: June 13, 2023
Abstract
Climate
change
is
a
major
threat
already
causing
system
damage
to
urban
and
natural
systems,
inducing
global
economic
losses
of
over
$500
billion.
These
issues
may
be
partly
solved
by
artificial
intelligence
because
integrates
internet
resources
make
prompt
suggestions
based
on
accurate
climate
predictions.
Here
we
review
recent
research
applications
in
mitigating
the
adverse
effects
change,
with
focus
energy
efficiency,
carbon
sequestration
storage,
weather
renewable
forecasting,
grid
management,
building
design,
transportation,
precision
agriculture,
industrial
processes,
reducing
deforestation,
resilient
cities.
We
found
that
enhancing
efficiency
can
significantly
contribute
impact
change.
Smart
manufacturing
reduce
consumption,
waste,
emissions
30–50%
and,
particular,
consumption
buildings
30–50%.
About
70%
gas
industry
utilizes
technologies
enhance
accuracy
reliability
forecasts.
Combining
smart
grids
optimize
power
thereby
electricity
bills
10–20%.
Intelligent
transportation
systems
dioxide
approximately
60%.
Moreover,
management
design
cities
through
application
further
promote
sustainability.
Agrochemicals,
Journal Year:
2023,
Volume and Issue:
2(2), P. 296 - 336
Published: June 9, 2023
In
an
alarming
tale
of
agricultural
excess,
the
relentless
overuse
chemical
fertilizers
in
modern
farming
methods
have
wreaked
havoc
on
once-fertile
soil,
mercilessly
depleting
its
vital
nutrients
while
inflicting
irreparable
harm
delicate
balance
surrounding
ecosystem.
The
excessive
use
such
leaves
residue
products,
pollutes
environment,
upsets
agrarian
ecosystems,
and
lowers
soil
quality.
Furthermore,
a
significant
proportion
nutrient
content,
including
nitrogen,
phosphorus,
potassium,
is
lost
from
(50–70%)
before
being
utilized.
Nanofertilizers,
other
hand,
nanoparticles
to
control
release
nutrients,
making
them
more
efficient
cost-effective
than
traditional
fertilizers.
Nanofertilizers
comprise
one
or
plant
within
where
at
least
50%
particles
are
smaller
100
nanometers.
Carbon
nanotubes,
graphene,
quantum
dots
some
examples
types
nanomaterials
used
production
nanofertilizers.
new
generation
that
utilize
advanced
nanotechnology
provide
sustainable
method
fertilizing
crops.
They
designed
deliver
controlled
manner,
ensuring
gradually
released
over
extended
period,
thus
providing
steady
supply
essential
elements
plants.
controlled-release
system
fertilizers,
as
it
reduces
need
for
frequent
application
amount
fertilizer.
These
high
surface
area-to-volume
ratio,
ideal
holding
releasing
nutrients.
Naturally
occurring
found
various
sources,
volcanic
ash,
ocean,
biological
matter
viruses
dust.
However,
regarding
large-scale
production,
relying
solely
naturally
may
not
be
sufficient
practical.
agriculture,
has
been
primarily
increase
crop
minimizing
losses
activating
defense
mechanisms
against
pests,
insects,
environmental
challenges.
nanofertilizers
can
reduce
runoff
leaching
into
improving
sustainability.
also
improve
fertilizer
efficiency,
leading
higher
yields
reducing
overall
cost
application.
especially
beneficial
areas
inefficient
ineffective.
way
fertilize
crops
impact
product
promising
technology
help
meet
increasing
demand
food
Currently,
face
limitations,
costs
potential
safety
concerns
due
nanomaterials,
further
research
needed
fully
understand
their
long-term
effects
health,
growth,
environment.
Diagnostics,
Journal Year:
2022,
Volume and Issue:
12(10), P. 2549 - 2549
Published: Oct. 20, 2022
The
global
healthcare
sector
continues
to
grow
rapidly
and
is
reflected
as
one
of
the
fastest-growing
sectors
in
fourth
industrial
revolution
(4.0).
majority
industry
still
uses
labor-intensive,
time-consuming,
error-prone
traditional,
manual,
manpower-based
methods.
This
review
addresses
current
paradigm,
potential
for
new
scientific
discoveries,
technological
state
preparation,
supervised
machine
learning
(SML)
prospects
various
sectors,
ethical
issues.
effectiveness
innovation
disease
diagnosis,
personalized
medicine,
clinical
trials,
non-invasive
image
analysis,
drug
discovery,
patient
care
services,
remote
monitoring,
hospital
data,
nanotechnology
learning-based
automation
along
with
requirement
explainable
artificial
intelligence
(AI)
are
evaluated.
In
order
understand
architecture
treatment,
a
thorough
study
medical
imaging
analysis
from
technical
point
view
presented.
also
represents
thinking
developments
that
will
push
boundaries
increase
opportunity
through
AI
SML
near
future.
Nowadays,
SML-based
applications
require
lot
data
quality
awareness
data-heavy,
knowledge
management
paramount.
biomedical
needs
skills,
consciousness
data-intensive
study,
knowledge-centric
health
system.
As
result,
merits,
demerits,
precautions
need
take
ethics
other
effects
into
consideration.
overall
insight
this
paper
help
researchers
academia
address
future
research
be
discussed
on
sectors.
Agronomy,
Journal Year:
2023,
Volume and Issue:
13(5), P. 1397 - 1397
Published: May 18, 2023
Artificial
intelligence
(AI)
involves
the
development
of
algorithms
and
computational
models
that
enable
machines
to
process
analyze
large
amounts
data,
identify
patterns
relationships,
make
predictions
or
decisions
based
on
analysis.
AI
has
become
increasingly
pervasive
across
a
wide
range
industries
sectors,
with
healthcare,
finance,
transportation,
manufacturing,
retail,
education,
agriculture
are
few
examples
mention.
As
technology
continues
advance,
it
is
expected
have
an
even
greater
impact
in
future.
For
instance,
being
used
agri-food
sector
improve
productivity,
efficiency,
sustainability.
It
potential
revolutionize
several
ways,
including
but
not
limited
precision
agriculture,
crop
monitoring,
predictive
analytics,
supply
chain
optimization,
food
processing,
quality
control,
personalized
nutrition,
safety.
This
review
emphasizes
how
recent
developments
transformed
by
improving
reducing
waste,
enhancing
safety
quality,
providing
particular
examples.
Furthermore,
challenges,
limitations,
future
prospects
field
summarized.
Advances in Colloid and Interface Science,
Journal Year:
2022,
Volume and Issue:
303, P. 102645 - 102645
Published: March 21, 2022
Devastating
plant
diseases
and
soil
depletion
rationalize
an
extensive
use
of
agrochemicals
to
secure
the
food
production
worldwide.
The
sustained
release
fertilizers
pesticides
in
agriculture
is
a
promising
solution
eco-toxicological
impacts
it
might
reduce
amount
increase
effectiveness
administration
field.
This
review
article
focusses
on
carriers
with
diameters
below
1
μm,
such
as
capsules,
spheres,
tubes
micelles
that
promote
actives.
Biopolymer
nanocarriers
represent
potentially
environmentally
friendly
alternative
due
their
renewable
origin
biodegradability,
which
prevents
formation
microplastics.
social
aspects,
economic
potential,
success
commercialization
biopolymer
based
are
influenced
by
controversial
nature
nanotechnology
depend
case.
Nanotechnology's
enormous
innovative
power
only
able
unfold
its
potential
limit
effects
climate
change
counteract
current
environmental
developments
if
perceived
risks
understood
mitigated.
Agrochemicals,
Journal Year:
2023,
Volume and Issue:
2(2), P. 220 - 256
Published: May 31, 2023
This
review
article
provides
an
extensive
overview
of
the
emerging
frontiers
nanotechnology
in
precision
agriculture,
highlighting
recent
advancements,
hurdles,
and
prospects.
The
benefits
this
field
include
development
advanced
nanomaterials
for
enhanced
seed
germination
micronutrient
supply,
along
with
alleviation
biotic
abiotic
stress.
Further,
nanotechnology-based
fertilizers
pesticides
can
be
delivered
lower
dosages,
which
reduces
environmental
impacts
human
health
hazards.
Another
significant
advantage
lies
introducing
cutting-edge
nanodiagnostic
systems
nanobiosensors
that
monitor
soil
quality
parameters,
plant
diseases,
stress,
all
are
critical
agriculture.
Additionally,
technology
has
demonstrated
potential
reducing
agro-waste,
synthesizing
high-value
products,
using
methods
devices
tagging,
monitoring,
tracking
agroproducts.
Alongside
these
developments,
cloud
computing
smartphone-based
biosensors
have
emerged
as
crucial
data
collection
analysis
tools.
Finally,
delves
into
economic,
legal,
social,
risk
implications
must
thoroughly
examined
technology’s
widespread
adoption.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(12), P. 5406 - 5406
Published: June 7, 2023
Micro-
and
nanotechnology-enabled
sensors
have
made
remarkable
advancements
in
the
fields
of
biomedicine
environment,
enabling
sensitive
selective
detection
quantification
diverse
analytes.
In
biomedicine,
these
facilitated
disease
diagnosis,
drug
discovery,
point-of-care
devices.
environmental
monitoring,
they
played
a
crucial
role
assessing
air,
water,
soil
quality,
as
well
ensured
food
safety.
Despite
notable
progress,
numerous
challenges
persist.
This
review
article
addresses
recent
developments
micro-
for
biomedical
challenges,
focusing
on
enhancing
basic
sensing
techniques
through
micro/nanotechnology.
Additionally,
it
explores
applications
addressing
current
both
domains.
The
concludes
by
emphasizing
need
further
research
to
expand
capabilities
sensors/devices,
enhance
sensitivity
selectivity,
integrate
wireless
communication
energy-harvesting
technologies,
optimize
sample
preparation,
material
selection,
automated
components
sensor
design,
fabrication,
characterization.