International Journal of Comparative Psychology,
Год журнала:
2023,
Номер
36(1)
Опубликована: Сен. 25, 2023
Active,
real-time
observation
of
behavior
is
a
time-consuming
task,
which
heavily
resource-limited.
At
the
same
time,
simultaneous
several
individuals
often
paramount
to
increase
statistical
rigor
and
eliminate
potential
temporal
or
environmental
bias,
especially
in
natural
settings.
This
paper
describes
low-cost
video
recording
system
created
by
using
“off-the-shelf”
components.
The
easy
use
can
automatically
record
wide
variety
related
ecological
interactions
evolutionary
processes.
sensitive
enough
broad
range
animals
from
planarians,
small
insects
humans.
It
also
be
used
measure
plants.
will
work
during
daylight
hours
at
night
run
continuously
autonomously
for
48
hours,
longer
if
capture
motion-triggered
bigger
capacity
batteries
data
storage
facilities
are
used.
Senegalese
sole
(Solea
senegalensis)
broodstock
exhibit
distinct
behaviours
(Rest
the
Head,
Guardian,
Follow,
and
Locomotor
activities)
that
are
important
for
breeding
success.
Understanding
monitoring
these
essential
to
understand
successful
of
sole.
However,
manually
analysing
represents
a
significant
challenge
human
observers
is
labour-intensive
process.
Therefore,
address
limitations,
this
study
introduces
custom-designed
framework
based
on
computer
vision
machine
learning
techniques.
The
model
integrates
object
detection
tracking
mechanisms
recognize
monitor
reproductive
within
aquaculture
environments.
By
combining
convolutional
neural
networks
(CNNs)
with
advanced
algorithms,
our
effectively
extracts
analyses
behavioural
patterns
from
video
datasets.
results
were
also
compared
manual
identify
key
behaviours.
automated
demonstrated
strong
performance,
accuracy,
precision,
specificity
exceeding
87%,
Pearson
correlation
R
=
0.99
between
observation
data
data.
analysed
videos
accurately
minimal
intervention,
thereby
saving
substantial
number
hours
opened
up
possibility
analyse
over
longer
periods,
generating
more
For
first
time
we
during
entire
night
how
specific
increased
decrease
in
relation
spawning.
These
changes
behaviour
spawning
enable
correlate
non-spawning
nights
provide
predictive
tool
identifies
accuracies
ranging
70%
100%.In
conclusion,
advances
capability
techniques
predict
events
facilitate
informed
decisions
enhancing
success
promoting
sustainable
practices.
PLoS ONE,
Год журнала:
2025,
Номер
20(3), С. e0312656 - e0312656
Опубликована: Март 27, 2025
Cage-free
housing
systems
for
laying
hens,
and
their
accompanying
guidelines,
legislation,
audits,
are
becoming
more
common
around
the
world.
regulations
often
specify
requirements
floor
space
cage
height,
but
availability
of
three-dimensional
can
vary
depending
on
system
configurations.
Little
research
has
looked
at
how
much
vertical
a
hen
occupies
while
flapping
her
wings,
which
is
arguably
most
space-intensive
behavior.
Therefore,
objective
this
study
was
to
use
depth
sensing
camera
measure
maximum
height
hens
reach
when
wing
without
physical
obstructions.
Twenty-eight
individually
caged
Hy-line
W36
45
weeks
age
were
evaluated.
A
ceiling-mounted
centered
above
test
pen
calibrated
prior
collecting
data.
During
testing,
one
time
placed
in
recorded
wings.
From
footage,
minimum
distance
between
pixels
obtained
each
frame,
we
computed
reached
by
hen.
Results
used
during
event
showed
that
51.0
±
4.7
cm.
No
measures
taken
from
correlated
with
(P
>
0.05).
Hens
single
strain,
old
enough
have
keel
damage,
cage-reared
housed,
preventing
us
generalizing
results
too
far.
However,
cameras
provide
useful
approach
varying
strains,
ages,
rearing/housing
methods
need
perform
dynamic
behaviors.
Sensors,
Год журнала:
2024,
Номер
24(24), С. 8042 - 8042
Опубликована: Дек. 17, 2024
We
present
an
artificial
intelligence
(AI)-enhanced
monitoring
framework
designed
to
assist
personnel
in
evaluating
and
maintaining
animal
welfare
using
a
modular
architecture.
This
integrates
multiple
deep
learning
models
automatically
compute
metrics
relevant
assessing
well-being.
Using
for
AI-based
vision
adapted
from
industrial
applications
human
behavioral
analysis,
the
includes
modules
markerless
identification
health
status
assessment
(e.g.,
locomotion
score
body
condition
score).
Methods
analysis
are
also
included
evaluate
how
nutritional
rearing
conditions
impact
behaviors.
These
initially
trained
on
public
datasets
then
fine-tuned
original
data.
demonstrate
approach
through
two
use
cases:
system
dairy
cattle
piglet
behavior
system.
The
results
indicate
that
scalable
edge
computing
solutions
can
support
precision
livestock
farming
by
automating
assessments
enabling
timely,
data-driven
interventions.
Genetics Selection Evolution,
Год журнала:
2024,
Номер
56(1)
Опубликована: Апрель 16, 2024
Abstract
Background
With
the
introduction
of
digital
phenotyping
and
high-throughput
data,
traits
that
were
previously
difficult
or
impossible
to
measure
directly
have
become
easily
accessible,
offering
opportunity
enhance
efficiency
rate
genetic
gain
in
animal
production.
It
is
interest
assess
how
behavioral
are
indirectly
related
production
during
performance
testing
period.
The
aim
this
study
was
quality
behavior
data
extracted
from
day-wise
video
recordings
estimate
parameters
their
phenotypic
correlations
with
pigs.
Behavior
recorded
for
70
days
after
on-test
at
about
10
weeks
age
ended
off-test
2008
female
purebred
pigs,
totaling
119,812
records.
included
time
spent
eating,
drinking,
laterally
lying,
sternally
sitting,
standing,
meters
distance
traveled.
A
control
procedure
created
algorithm
training
adjustment,
standardizing
recording
hours,
removing
culled
animals,
filtering
unrealistic
Results
Production
average
daily
(ADG),
back
fat
thickness
(BF),
loin
depth
(LD).
Single-trait
linear
models
used
heritabilities
two-trait
between
traits.
results
indicated
all
heritable,
heritability
estimates
ranging
0.19
0.57,
showed
low-to-moderate
Two-trait
also
compare
different
intervals
To
analyze
redundancies
period,
averages
various
compared.
Overall,
55-
68-day
interval
had
strongest
correlation
Conclusions
Digital
a
new
low-cost
method
record
phenotypes,
but
thorough
cleaning
procedures
needed.
Evaluating
offers
deeper
insight
into
changes
throughout
growth
periods
relationship
traits,
which
may
be
less
frequent
basis.
