The
work
is
devoted
to
the
process
of
research
and
development
an
object
selection
tracking
in
images.
article
offers
a
solution
problem
crossing
bounding
frames
that
arises
operation
YOLO
R-CNN
type
neural
networks
by
developing
method
for
estimating
optimal
size
search
area,
which
will
allow
finding
appropriate
its
frame,
offer
generalized
approach
visualization
process,
visually
represent
overlap
facilitate
object.
To
confirm
effectiveness
proposed
method,
there
conduct
experiments
on
data
set.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(4), P. 3557 - 3557
Published: Feb. 15, 2023
In
this
study,
we
conducted
a
scoping
review
and
bibliometric
analysis
to
evaluate
the
state-of-the-art
regarding
actual
applications
of
unmanned
aerial
vehicle
(UAV)
technologies
guide
precision
agriculture
(PA)
practices
within
smallholder
farms.
UAVs
have
emerged
as
one
most
promising
tools
monitor
crops
PA
improve
agricultural
productivity
promote
sustainable
optimal
use
critical
resources.
However,
there
is
need
understand
how
for
what
purposes
these
are
being
applied
Using
Biblioshiny
VOSviewer,
23
peer-reviewed
articles
from
Scopus
Web
Science
were
analyzed
acquire
greater
perspective
on
emerging
topical
research
focus
area.
The
results
investigations
revealed
that
largely
been
used
monitoring
crop
growth
development,
guiding
fertilizer
management,
mapping
but
also
potential
facilitate
other
practices.
Several
factors
may
moderate
technologies.
due
continuous
technological
advancements
reductions
in
ownership
operational
costs,
remains
much
cause
optimism
future
associated
inform
policy,
planning,
decision-making.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 31461 - 31487
Published: Jan. 1, 2024
Construction
sector
spending
makes
a
significant
contribution
to
the
global
economy,
with
approximately
$10
trillion
being
spent
on
building
and
construction
activities
annually.
However,
industry
has
traditionally
been
perceived
as
slow
adapt
new
technologies
compared
other
sectors.
Recently,
experienced
substantial
shift
towards
Digital
Transformation.
As
have
emerged,
begun
realize
importance
of
Transformation
in
pre-construction,
construction,
facility
management
phases.
A
high
degree
seen
regarding
site
monitoring,
wearables,
sensors,
identifying
hazards.
This
paper
intends
sketch
picture
digital
implemented
throughout
entire
project
lifecycle.
By
fully
analyzing
more
than
200
papers,
finds
that
various
aspects
industry,
including
technologies,
policies,
regulations,
infrastructures,
are
still
early
stages
The
findings
from
this
review
will
help
researchers
practitioners
understand
technology
implementation
where
stands
process.
also
serves
starting
point
for
future
work
industry.
research
is
limited
vertical
projects
does
not
include
horizontal
integration.
Finally,
study
give
guideline
successful
examples
which
used
specific
phases,
so
can
get
holistic
view
use
environment.
Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
11
Published: June 12, 2023
Technological
advances
have
played
a
critical
role
in
the
production
of
flower
crops,
enabling
farmers
to
maximize
yields
and
reduce
losses
while
also
improving
quality
flowers.
These
included
development
new
breeding
techniques,
such
as
molecular
marker-assisted
breeding,
use
modern
technologies
like
high-throughput
phenotyping
identify
select
superior
cultivars.
In
addition,
precision
farming
sensors
remote
monitoring
systems,
made
it
possible
closely
monitor
crop
growth
optimize
inputs
water
fertilizer,
leading
higher
improved
resource
efficiency.
Advancements
biotechnology
resulted
transgenic
plants
that
are
resistant
pests
diseases,
reducing
need
for
chemical
pesticides
plant
health.
Modern
genetic
tools,
particularly
genome
editing
with
CRISPR/Cas9
nucleases,
emerging
addition
conventional
approaches
investigating
these
plants.
Furthermore,
novel
growing
hydroponics
vertical
farming,
has
allowed
year-round
controlled
environments,
mitigating
challenges
associated
seasonal
changes
climate
variability.
innovations
produce
high-quality
flowers
urban
areas,
bringing
fresh
blooms
closer
consumers.
Overall,
technological
crops
revolutionized
floriculture
industry,
growers
more
sustainable
efficient
manner.
advancements
not
only
productivity
profitability
but
contributed
conservation
natural
resources
protection
environment.
Social Science Quarterly,
Journal Year:
2025,
Volume and Issue:
106(1)
Published: Jan. 1, 2025
ABSTRACT
Objective
This
study
highlights
the
transformative
impact
of
unmanned
aerial
vehicles
(UAVs)
in
social
sciences,
revealing
their
growing
importance
across
methodologies
and
ethical
considerations.
Initially
prominent
military
use,
UAVs
now
significantly
benefit
civilian
academic
domains,
including
anthropology,
geography,
archaeology.
A
comprehensive
literature
review
assesses
UAV
integration
into
these
fields,
emphasizing
innovative
applications
case
studies
that
demonstrate
value
enhancing
data
collection
research
capabilities.
UAVs’
ability
to
gather
detailed,
wide‐ranging
geographical
information
efficiently
underscores
methodological
revolution
science
research.
paper
potential
for
deeper
analysis
challenges
they
pose,
forecasting
profound
effect
on
future
trends
by
marrying
technological
advances
with
mindfulness.
In
moving
forward,
this
advocates
interdisciplinary
collaborations
development
robust
frameworks
maximize
benefits
while
mitigating
risks,
paving
way
responsible
impactful
application
Buildings,
Journal Year:
2024,
Volume and Issue:
14(3), P. 601 - 601
Published: Feb. 23, 2024
The
rapid
advancement
of
digital
technology
has
enabled
transformation
across
various
sectors,
including
construction.
construction
industry
long
been
associated
with
conventional,
labor-intensive
practices
that
can
adversely
influence
the
entire
process.
However,
this
culture
is
changing
as
key
players
in
sector
are
progressively
identifying
and
embracing
vast
opportunities
benefits
using
tools
technologies
to
improve
performance
outcomes
overall
project
lifecycle.
To
end,
study
uses
Delphi
technique
identify
70
factors
contribute
industry,
categorizing
them
into
five
groups:
management,
design,
technology,
policy,
infrastructure.
analysis
used
examine
critical
success
for
identified
literature
rate
their
importance
during
preconstruction,
construction,
facility
management
phases.
Furthermore,
research
results
introduction
Digital
Transformation
Level
Readiness
Framework
(DTRLF)
help
firms,
clients,
organizations,
contractors,
designers
comprehend
implementation
within
respective
domains
support
decision-makers
establishing
action
adapt
related
respected
Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2540 - 2540
Published: April 17, 2025
Mangrove
ecosystems
are
important
in
tropical
and
subtropical
coastal
zones,
contributing
to
marine
biodiversity
maintaining
ecological
balance.
It
is
crucial
develop
more
efficient,
intelligent,
accurate
monitoring
methods
for
mangroves
understand
better
protect
mangrove
ecosystems.
This
study
promotes
a
novel
model,
MangroveNet,
integrating
multi-scale
spectral
spatial
information
detecting
area.
In
addition,
we
also
present
an
improved
AttCloudNet+,
identify
the
distribution
of
species
based
on
high-resolution
multispectral
drone
images.
These
models
incorporate
attention
mechanisms
have
been
shown
effectively
address
limitations
traditional
methods,
which
prone
inaccuracy
low
efficiency
identification.
this
study,
compare
results
from
MangroveNet
with
SegNet,
UNet,
DeepUNet,
etc.
The
findings
demonstrate
that
exhibits
superior
generalization
learning
capabilities
extraction
outcomes
than
other
deep
models.
accuracy,
F1_Score,
mIoU,
precision
were
99.13%,
98.84%,
98.11%,
99.14%,
respectively.
terms
identifying
species,
prediction
AttCloudNet+
compared
those
obtained
supervised
unsupervised
classifications
various
machine
methods.
include
K-means
clustering,
ISODATA
cluster
analysis,
Random
Forest
(RF),
Support
Vector
Machines
(SVM),
others.
comparison
demonstrates
identification
using
exhibit
most
optimal
performance
Kappa
coefficient
overall
accuracy
(OA)
index,
reaching
0.81
0.87,
two
confirm
effectiveness
developed
their
species.
Overall,
provide
efficient
solution
dual
mechanism
acceptable
real-time
imagery.
