Drones,
Год журнала:
2024,
Номер
8(9), С. 500 - 500
Опубликована: Сен. 19, 2024
Drones
are
increasingly
used
for
monitoring
wildlife,
and
it
is
therefore
necessary
to
evaluate
their
impact
on
animal
behavior.
According
the
landscape
of
fear
framework,
animals
assess
respond
perceived
risks
in
environment
by
adjusting
behavior
space
use
avoid
potential
threats.
Understanding
how
drones
influence
risk
perception
thus
crucial
generating
stress
altering
animal’s
natural
Geoffroy’s
spider
monkeys
(Ateles
geoffroyi)
endangered
arboreal
primates,
but
information
distribution
abundance
scarce
throughout
geographical
distribution.
can
aid
rapidly
obtain
such
information,
data
needed
design
surveys
that
minimize
disturbance
(i.e.,
any
interference
or
modification
caused
presence
operation
drones).
Here,
we
evaluated
whether
drone
flights
influenced
following
monkey
behaviors:
agonistic
displays,
self-scratching,
whinny
vocalizations,
feeding,
resting,
social
interactions,
moving.
We
also
effect
three
flight
parameters,
height
(35,
50
m
above
ground
level),
speed
(2,
4
m/s),
distance
(“close”,
“medium”,
“far”)
examined
repeated
exposure
resulted
tolerance
lack
a
behavioral
response).
found
only
displays
resting
parameter
affecting
behaviors
was
between
drone.
developed
displays.
Based
our
results,
suggest
do
not
perceive
as
major
sources
(such
predators)
short
term,
be
viable
option
study
this
species
if
adequate
protocols
implemented.
Journal of Rock Mechanics and Geotechnical Engineering,
Год журнала:
2023,
Номер
16(3), С. 924 - 941
Опубликована: Сен. 12, 2023
The
aperture
of
natural
rock
fractures
significantly
affects
the
deformation
and
strength
properties
masses,
as
well
hydrodynamic
fractured
masses.
conventional
measurement
methods
are
inadequate
for
collecting
data
on
high-steep
slopes
in
complex
mountainous
regions.
This
study
establishes
a
high-resolution
three-dimensional
model
slope
using
unmanned
aerial
vehicle
(UAV)
multi-angle
nap-of-the-object
photogrammetry
to
obtain
edge
feature
points
fractures.
Fracture
opening
morphology
is
characterized
coordinate
projection
transformation.
central
axis
determined
vertical
measuring
lines,
allowing
interpretation
adaptive
fracture
shape.
feasibility
reliability
new
method
verified
at
construction
site
railway
southeast
Tibet,
China.
shows
that
has
significant
interval
effect
size
effect.
optimal
sampling
length
approximately
0.5–1
m,
results
can
be
achieved
when
line
spacing
1%
length.
Tensile
area
generally
have
larger
apertures
than
shear
fractures,
their
tendency
increase
with
height
also
greater
tensile
positively
correlated
trace
length,
while
correlation
between
appears
weak.
Fractures
different
orientations
exhibit
certain
differences
distribution
aperture,
but
follow
forms
normal,
log-normal,
gamma
distributions.
provides
essential
support
stability
evaluation,
which
practical
importance.
International Journal of Applied Earth Observation and Geoinformation,
Год журнала:
2023,
Номер
125, С. 103558 - 103558
Опубликована: Ноя. 18, 2023
The
3D
real
scene
model
of
high-steep
rock
slope
established
based
on
UAV
image
provides
convenience
for
non-contact
identification
and
interpretation
mass
structures.
quality
models
directly
influences
the
interpretability
However,
quantitative
studies
relationship
between
these
two
aspects
are
scarce.
Therefore,
this
study
investigates
influence
indicators
such
as
photography
distance
(D),
brightness
(l),
angle
optical
axis
discontinuity
to
be
interpreted
(θd),
texture
distortion
area
ratio
(tdp),
among
others,
models.
Furthermore,
it
delves
into
relationships
their
practical
application
effects
in
complex
slopes.
On
foundation,
a
novel
multi-indicator
evaluation
method
constructed
using
photogrammetry
is
introduced
first
time.
This
method,
composite
index
incorporating
empirical
approaches,
classifies
five
levels.
Guided
by
results
taking
account
terrain
development
geometric
characteristics
discontinuities,
technical
framework
supporting
acquisition
high-quality
proposed,
known
multi-angle
nap-of-the-object
(MNIA).
research
indicates
that
MNIA
exhibit
significantly
reduced
distortion,
leading
substantial
improvement
recognizability,
with
goodness
rate
79.98%,
far
surpassing
oblique
(41.18%).
crucial
guidance
obtaining
environments
holds
significant
engineering
value
fine
structures
Animals,
Год журнала:
2022,
Номер
12(19), С. 2722 - 2722
Опубликована: Окт. 10, 2022
Tropical
Rainforest
Heritage
sites
of
Sumatra
are
some
the
most
irreplaceable
landscapes
in
world
for
biodiversity
conservation.
These
harbor
many
endangered
Asiatic
mammals
all
suffering
multifaceted
threats
due
to
anthropogenic
activities.
Three
charismatic
Sumatra:
Elephas
maximus
sumatranus,
Pongo
abelii,
and
Panthera
tigris
sumatrae
protected
listed
as
Critically
Endangered
(CR)
within
IUCN
Red
List.
Nevertheless,
their
current
geographic
distribution
remains
unclear,
impact
environmental
factors
on
these
species
mostly
unknown.
This
study
predicts
potential
range
those
island
using
anthropogenic,
biophysical,
topographic,
climatic
parameters
based
ensemble
machine
learning
algorithms.
We
also
investigated
effects
habitat
loss
from
land
use,
ecosystem
availability,
importance
Indonesian
areas.
Our
predictive
model
had
relatively
excellent
performance
(Sørensen:
0.81-0.94)
can
enhance
knowledge
distributions.
The
critical
predictors
three
conservation
status
temperature
seasonality.
revealed
that
more
than
half
distributions
occurred
non-protected
areas,
with
proportional
coverage
being
83%,
72%,
54%
E.m.
P.
P.t.
sumatrae,
respectively.
further
provides
reliable
information
places
where
efforts
must
be
prioritized,
both
inside
outside
area
networks,
safeguard
ongoing
survival
large
mammals.
IEEE Access,
Год журнала:
2023,
Номер
11, С. 7320 - 7335
Опубликована: Янв. 1, 2023
We
report
a
smart
irrigation
system
that
allows
selective
of
localized
dry
spots
in
an
agricultural
field.
The
proposed
uses
quadcopter
drone
equipped
with
Thermal
Infrared
(TIR)
camera
and
GPS
module
to
generate
georeferenced
thermal
images
indicate
the
area
location
survey
area.
Drones
navigate
acquire
aerial
images,
which
are
then
processed
by
onboard
edge
intelligence
along
flight
data
(GPS
coordinates,
altitude,
direction).
Smart
sprinklers
deployed
on
field
able
wirelessly
receive
coordinates
so
they
can
be
irrigated
selectively.
A
terrestrial
unit
generates
pattern
for
using
pre-trained
machine
learning
(ML)
model
varying
head
rotation
angle
(
$\theta$
)
water
flow
control
valve
angle(
notation="LaTeX">$\emptyset$
sprinkler.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Дек. 3, 2023
Wildlife
monitoring
in
tropical
rainforests
poses
additional
challenges
due
to
species
often
being
elusive,
cryptic,
faintly
colored,
and
preferring
concealable,
or
difficult
access
habitats.
Unmanned
aerial
vehicles
(UAVs)
prove
promising
for
wildlife
surveys
different
ecosystems
forests
can
be
crucial
conserving
inaccessible
biodiverse
areas
their
associated
species.
Traditional
that
involve
infiltrating
animal
habitats
could
adversely
affect
the
habits
behavior
of
elusive
cryptic
response
human
presence.
Moreover,
collecting
data
through
traditional
simultaneously
estimate
abundance
demographic
rates
communities
is
prohibitively
time-intensive
expensive.
This
study
assesses
scope
drones
non-invasively
Bukit
Tigapuluh
Landscape
(BTL)
Riau-Jambi,
Indonesia,
detect
individual
elephants
interest.
A
rotary-wing
quadcopter
with
a
vision-based
sensor
was
tested
elephant
population
size
age
structure.
We
developed
hierarchical
modeling
deep
learning
CNN
Drones
successfully
observed
96
distinct
individuals
at
8
locations
out
11
sampling
areas.
obtained
an
151
(95%
CI
[124,
179])
within
area
predicted
more
adult
animals
than
subadults
juvenile
population.
Our
calculations
may
serve
as
vital
spark
innovation
future
UAV
survey
designs
large
complex
topographies
while
reducing
operational
effort.
Sensors,
Год журнала:
2024,
Номер
24(17), С. 5659 - 5659
Опубликована: Авг. 30, 2024
Geoffroy's
spider
monkeys,
an
endangered,
fast-moving
arboreal
primate
species
with
a
large
home
range
and
high
degree
of
fission-fusion
dynamics,
are
challenging
to
survey
in
their
natural
habitats.
Our
objective
was
evaluate
how
different
flight
parameters
affect
the
detectability
monkeys
videos
recorded
by
drone
equipped
thermal
infrared
camera
examine
level
agreement
between
coders.
We
used
generalized
linear
mixed
models
impact
speed
(2,
4,
6
m/s),
height
(40,
50
m
above
ground
level),
angle
(-45°,
-90°)
on
monkey
counts
closed-canopy
forest
Yucatan
Peninsula,
Mexico.
results
indicate
that
none
three
affected
number
detected
monkeys.
Agreement
coders
"substantial"
(Fleiss'
kappa
coefficient
=
0.61-0.80)
most
cases
for
thermal-contrast
zones.
study
contributes
development
standardized
protocols,
which
essential
obtain
accurate
data
presence
abundance
wild
populations.
Based
our
results,
we
recommend
performing
surveys
other
medium-sized
mammals
small
commercial
at
4
m/s
speed,
15
canopy
height,
-90°
angle.
However,
these
recommendations
may
vary
depending
size
noise
produced
model.
Agriculture,
Год журнала:
2025,
Номер
15(5), С. 502 - 502
Опубликована: Фев. 26, 2025
Fractional
vegetation
cover
(FVC)
is
a
key
indicator
of
plant
growth.
Unmanned
aerial
vehicle
(UAV)
imagery
has
gained
prominence
for
FVC
monitoring
due
to
its
high
resolution.
However,
most
studies
have
focused
on
single
phenological
stages
or
specific
crop
types,
with
limited
research
the
continuous
temporal
creeping
plants.
This
study
addresses
this
gap
by
focusing
Thymus
mongolicus
Ronniger
(T.
mongolicus).
UAV-acquired
visible
light
and
multispectral
images
were
collected
across
stages:
green-up,
budding,
early
flowering,
peak
fruiting.
estimation
models
developed
using
four
algorithms:
multiple
linear
regression
(MLR),
random
forest
(RF),
support
vector
(SVR),
artificial
neural
network
(ANN).
The
SVR
model
achieved
optimal
performance
during
green-up
(R2
=
0.87)
flowering
0.91),
while
ANN
excelled
budding
0.93),
0.95),
fruiting
0.77).
predictions
best-performing
consistent
ground
truth
values,
thereby
effectively
capturing
dynamic
changes
in
FVC.
growth
rates
exhibited
distinct
variations
stages,
indicating
consistency
between
predicted
actual
trends.
highlights
feasibility
UAV-based
T.
indicates
potential
tracking
Biology,
Год журнала:
2025,
Номер
14(5), С. 520 - 520
Опубликована: Май 8, 2025
Freshwater
ecosystems
are
increasingly
threatened
by
climate
change
and
anthropogenic
activities,
necessitating
innovative
scalable
monitoring
solutions.
Artificial
intelligence
(AI)
has
emerged
as
a
transformative
tool
in
aquatic
biodiversity
research,
enabling
automated
species
identification,
predictive
habitat
modeling,
conservation
planning.
This
systematic
review
follows
the
PRISMA
framework
to
analyze
AI
applications
freshwater
studies.
Using
structured
literature
search
across
Scopus,
Web
of
Science,
Google
Scholar,
we
identified
312
relevant
studies
published
between
2010
2024.
categorizes
into
assessment,
ecological
risk
evaluation,
strategies.
A
bias
assessment
was
conducted
using
QUADAS-2
RoB
2
frameworks,
highlighting
methodological
challenges,
such
measurement
inconsistencies
model
validation.
The
citation
trends
demonstrate
exponential
growth
AI-driven
with
leading
contributions
from
China,
United
States,
India.
Despite
growing
use
this
field,
also
reveals
several
persistent
including
limited
data
availability,
regional
imbalances,
concerns
related
generalizability
transparency.
Our
findings
underscore
AI’s
potential
revolutionizing
but
emphasize
need
for
standardized
methodologies,
improved
integration,
interdisciplinary
collaboration
enhance
insights
efforts.