Network Computation in Neural Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 33
Published: July 31, 2024
The
rapid
advancements
in
Agriculture
4.0
have
led
to
the
development
of
continuous
monitoring
soil
parameters
and
recommend
crops
based
on
fertility
improve
crop
yield.
Accordingly,
parameters,
such
as
pH,
nitrogen,
phosphorous,
potassium,
moisture
are
exploited
for
irrigation
control,
followed
by
recommendation
agricultural
field.
smart
control
is
performed
utilizing
Interactive
guide
optimizer-Deep
Convolutional
Neural
Network
(Interactive
optimizer-DCNN),
which
supports
decision-making
regarding
nutrients.
Specifically,
optimizer-DCNN
classifier
designed
replace
standard
ADAM
algorithm
through
modeled
interactive
optimizer,
exhibits
alertness
guiding
characters
from
nature-inspired
dog
cat
population.
In
addition,
data
down-sampled
reduce
redundancy
preserve
important
information
computing
performance.
model
attains
an
accuracy
93.11
%
predicting
minerals,
pH
value,
thereby,
exhibiting
a
higher
97.12%
when
training
fixed
at
90%.
Further,
developed
attained
F-score,
specificity,
sensitivity,
values
90.30%,
92.12%,
89.56%,
86.36%
with
k-fold
10
minerals
that
revealed
efficacy
model.
Computers and Electronics in Agriculture,
Journal Year:
2024,
Volume and Issue:
221, P. 108924 - 108924
Published: April 16, 2024
Since
the
launch
of
"Generative
Pre-trained
Transformer
3.5",
ChatGPT
by
Open,
artificial
intelligence
(AI)
has
been
a
main
discussion
topic
in
public.
Especially
large
language
models
(LLM),
so
called
"intelligent"
chatbots,
and
possibility
to
automatically
generate
highly
professional
technical
texts
get
high
attention.
Companies,
as
well
researchers,
are
evaluating
possible
applications
how
such
powerful
LLM
can
be
integrated
into
daily
work
bring
benefits,
improve
their
business
or
make
research
outcome
more
efficient.
In
general,
underlying
trained
on
datasets,
mainly
sources
from
websites,
online
books
articles.
combination
with
information
provided
user,
model
give
an
impressively
fast
response.
Even
if
range
questions
answers
look
unrestricted,
there
limits
models.
this
paper,
use
cases
for
agricultural
tasks
elucidated.
This
includes
textual
preparation
facts,
consulting
tasks,
interpretation
decision
support
plant
disease
management,
guides
tutorials
integrate
modern
digital
techniques
work.
Opportunities
challenges
described,
limitations
insufficiencies.
The
authors
describe
map
easy-to-reach
topics
agriculture
where
integration
LLMs
seems
very
likely
within
next
few
years.
Human-Centric Intelligent Systems,
Journal Year:
2024,
Volume and Issue:
4(2), P. 187 - 205
Published: May 13, 2024
Abstract
Protagonists
allege
that
artificial
intelligence
(AI)
is
revolutionising
contemporaneous
mindscapes.
Here,
we
authoritatively
review
the
status
quo
of
AI
and
machine
learning
application
in
irrigated
agriculture,
evaluating
potential
of,
challenges
associated
with,
a
wide
range
existential
approaches.
We
contend
aspiring
developers
irrigation
systems
may
benefit
from
human-centred
AI,
nascent
algorithm
captures
diverse
end-user
views,
behaviours
actions,
potentially
facilitating
refinement
proposed
through
iterative
stakeholder
feedback.
AI-guided
human–machine
collaboration
can
streamline
integration
user
needs,
allowing
customisation
towards
situational
farm
management
adaptation.
Presentation
big
data
intuitive,
legible
actionable
forms
for
specialists
laypeople
also
urgently
requires
attention:
here,
AI-explainable
interpretability
help
harness
human
expertise,
enabling
end-users
to
contribute
their
experience
within
an
pipeline
bespoke
outputs.
Transfer
holds
promise
contextualising
place-based
agroecological
regions,
production
or
enterprise
mixes,
even
with
limited
inputs.
find
rate
scientific
software
development
recent
times
has
outpaced
evolution
adequate
legal
institutional
regulations,
often
social,
moral
ethical
license
operate,
revealing
consumer
issues
ownership,
legitimacy
trust.
opine
great
elicit
sustainable
outcomes
food
security,
social
innovation
environmental
stewardship,
albeit
such
more
likely
be
realised
concurrent
appropriate
ethical,
dimensions.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(7), P. e0307608 - e0307608
Published: July 31, 2024
Waste
management
poses
a
major
challenge
for
cities
worldwide,
with
significant
environmental,
economic,
and
social
impacts.
This
paper
proposes
novel
waste
system
leveraging
recent
advances
in
the
Internet
of
Things
(IoT),
algorithms,
cloud
analytics
to
enable
more
efficient,
sustainable,
eco-friendly
collection
processing
smart
cities.
An
ultrasonic
sensor
prototype
is
tailored
reliable
fill-level
monitoring.
A
LoRaWAN
cellular
network
architecture
provides
city-wide
connectivity.
platform
handles
data
storage,
processing,
analytics.
Dynamic
route
optimization
algorithms
minimize
time,
distance,
fuel
use
based
on
real-time
bin
data.
Extensive
pilot
studies
10
different
locations
across
Lahore,
Pakistan,
validated
system,
over
200
million
points.
The
results
showed
32%
improvement
efficiency,
29%
decrease
consumption
emissions,
33%
increase
throughput,
18%
vehicle
maintenance
savings
versus
conventional
practices.
demonstrates
quantifiable
benefits
operational,
sustainability
dimensions.
proposed
IoT-enabled
represents
advancement
towards
sustainable
ecologically
responsible
practices
worldwide.
research
replicable
model
holistic
city
solutions
integrating
sensing,
transition
civic
operations
data-driven,
efficient
paradigms.
It
Further
work
could
apply
emerging
technologies
like
automation
artificial
intelligence
create
3.0.
Engineering Optimization,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 22
Published: Jan. 15, 2025
In
view
of
the
problem
high
energy
consumption
and
control
costs
caused
by
uneven
airflow
distribution
unreasonable
in
complex
mine
ventilation
networks,
this
study
takes
minimum
number
regulators
as
optimization
objectives
to
establish
a
multi-objective
model
for
networks.
Based
on
roadway
adjustable
attributes
spanning
tree
principle,
location
was
reasonably
determined.
Moreover,
article
proposes
an
improved
invasive
weed
(IIWO)
algorithm
solve
with
coupling
nonlinearity.
Compared
other
algorithms,
IIWO
showed
excellent
performance.
applied
optimize
network.
The
results
show
that
can
effectively
reduce
network,
saving
rate
fan
is
31.78%.
IETE Technical Review,
Journal Year:
2023,
Volume and Issue:
41(1), P. 46 - 65
Published: May 30, 2023
The
techniques
for
solving
complex
optimization
problems
using
nature
inspired
metaheuristic
algorithms
are
widely
accepted.
Nature
methods
use
derived
approaches
to
offer
an
efficient
solution
within
polynomial
time.
This
paper
presents
analytics
of
some
the
significant
algorithms.
It
elaborates
on
principles
and
concepts
that
used
in
these
representing
their
similarities,
variations,
exceptions.
taxonomical
classification
presented
this
list
phenomenon
develop
a
wide
variety
nature-inspired
techniques.
classified
as
per
type
agents
used,
search
techniques,
sub-optimization
methods,
constraints,
problems.
survey
comprehends
control
parameters
like
exploration
convergence
applicable
domain
specifications.
sources
inspiration
also
with
variants.
establishes
required
choose
specific
heuristic
algorithm
smart
farming
related
applications.
Metaheuristic
Particle
Swarm
optimization,
Ant
colony
Whale
Firefly
etc.
have
contributed
significantly
assisting
better
productivity
crops.
