2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE),
Journal Year:
2022,
Volume and Issue:
unknown, P. 1 - 7
Published: June 30, 2022
Remote
sensing
and
counting
of
animals
is
important
for
both
livestock
farming
wildlife
population
management.
Traditional
surveying
methods
manual
onsite
are
hard
to
accomplish,
time-consuming,
expensive
could
be
even
dangerous.
In
contrast,
remote
detection
safe,
cost-effective
easily
frequently
repeated,
providing
prompt
information
about
animals'
size
location.
This
paper
reviews
some
the
most
promising
potential
automated
animals,
ranging
from
simple
computer
vision
operations
like
spatial
filtering,
edge
detection,
binarization
image
subtraction,
more
complex
machine
learning
AI
approaches
object
recognition.
Many
scientists
worldwide
working
on
automation
management,
their
experimental
results
really
prove
great
artificial
intelligence
achieving
that.
Australian Mammalogy,
Journal Year:
2024,
Volume and Issue:
46(3)
Published: Oct. 24, 2024
The
southern
hairy-nosed
wombat
(Lasiorhinus
latifrons)
is
a
large,
nocturnal,
herbivorous,
burrowing
marsupial,
endemic
to
the
semi-arid
and
arid
regions
of
Australia.
active
burrow
L.
latifrons
used
as
primary
feature
in
population
estimations.
Therefore,
accurate
identification
an
vital,
especially
when
other
burrow-like
structures
exist.
Entrance
attributes
such
width,
height,
length
angle
path
leading
entrance,
signs
activity
are
indistinguishable
between
different
structures,
making
differentiation
them
impossible
without
inspecting
structure
beyond
entrance.
Structures
from
entrances
were
identified
field
possible
burrows,
blinds,
go-throughs.
An
unmanned
aerial
vehicle
provided
images
immediately
above
12
warren
systems
mid-north
South
Australia,
support
ground-truthing
for
mapping
verification
these
structures.
Active
burrows
(APB)
found
occur
proportionally
lower
numbers
than
non-burrow
(ANBS)
blinds
go-throughs,
varying
proportion
high
1:2
low
1:11
(APB:ANBS).
Defining
tunnels
entrance
increases
accuracy
estimations,
while
recognising
existence
additional
architectural
features
vital
understanding
functional
potential
ecosystem
engineer.
Drones,
Journal Year:
2022,
Volume and Issue:
7(1), P. 5 - 5
Published: Dec. 21, 2022
Drones
equipped
with
thermal
cameras
have
recently
become
readily
available,
broadening
the
possibilities
for
monitoring
wildlife.
The
European
hare
(Lepus
europaeus)
is
a
nocturnal
mammal
that
closely
monitored
in
Denmark
due
to
populations
declining
since
mid-1900s.
limitations
of
current
population-assessment
methods,
such
as,
spotlight
counts
and
hunting
game
statistics,
could
be
overcome
by
relying
on
drone
surveys
imaging
population
counts.
aim
this
study
was
investigate
use
DJI
Mavic
2
Enterprise
Advanced
as
tool
Danish
population.
Multiple
test
flights
were
conducted
over
agricultural
areas
spring
2022,
testing
various
flight
altitudes,
camera
settings,
recording
methods.
used
suggest
method
identifying
counting
hares.
applied
methodology
then
evaluated
through
case
survey
had
hares
an
area
242
ha.
Hares
detected
at
altitudes
up
80
m,
it
possible
fly
low
40
m
without
observing
direct
behaviorial
changes.
Thermal
images
taken
these
also
provided
enough
detail
differentiate
between
species,
animal
body
size
proved
good
species
indicator.
supported
imaging-based
identify
conduct
counts,
thus
indicating
suggested
viable
alternative
traditional
2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE),
Journal Year:
2022,
Volume and Issue:
unknown, P. 1 - 7
Published: June 30, 2022
Remote
sensing
and
counting
of
animals
is
important
for
both
livestock
farming
wildlife
population
management.
Traditional
surveying
methods
manual
onsite
are
hard
to
accomplish,
time-consuming,
expensive
could
be
even
dangerous.
In
contrast,
remote
detection
safe,
cost-effective
easily
frequently
repeated,
providing
prompt
information
about
animals'
size
location.
This
paper
reviews
some
the
most
promising
potential
automated
animals,
ranging
from
simple
computer
vision
operations
like
spatial
filtering,
edge
detection,
binarization
image
subtraction,
more
complex
machine
learning
AI
approaches
object
recognition.
Many
scientists
worldwide
working
on
automation
management,
their
experimental
results
really
prove
great
artificial
intelligence
achieving
that.