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.
Animals,
Journal Year:
2024,
Volume and Issue:
14(16), P. 2367 - 2367
Published: Aug. 15, 2024
Rabbits
are
highly
susceptible
to
environmental
stress.
Such
stress,
stemming
from
conventional
housing
conditions,
can
negatively
impact
well-being
and
productivity.
Some
of
these
negative
consequences
increased
susceptibility
diseases
infections
reduced
growth
rates
reproductive
performance,
as
well
behavioral
issues
such
aggression.
Environmental
enrichment
is
the
modification
environment
in
which
a
domesticated
animal
lives
order
meet
species’
needs.
The
objective
providing
facilitate
animals
expressing
natural
behaviors,
thereby
preventing
frustration
affective
states.
Several
inexpensive
safe
materials
be
used
enrich
rabbit
enclosures.
This
review
emphasizes
significance
implementing
diverse
enrichments
alleviate
stress
farming.
It
summarizes
their
effects
on
performance
welfare
while
exploring
potential
future
perspectives
this
field.
Biology,
Journal Year:
2025,
Volume and Issue:
14(3), P. 225 - 225
Published: Feb. 20, 2025
The
European
rabbit
(Oryctolagus
cuniculus)
presents
a
significant
conservation
and
management
challenge
in
Greece.
While
it
has
been
listed
national
biodiversity
assessments,
its
population
dynamics
on
the
island
of
Lemnos
demonstrate
characteristics
highly
adaptable
rapidly
expanding
species,
exerting
substantial
ecological
economic
impacts.
Addressing
this
issue
requires
spatially
explicit
understanding
distribution
patterns
habitat
preferences,
particularly
given
extensive
growth
over
past
three
decades.
To
end,
we
conducted
40
field
surveys
across
island,
documenting
1534
presence
records
species.
We
applied
Kernel
Density
Estimation,
Getis-Ord
Gi
*,
Anselin
Local
Moran’s
I
to
identify
spatial
hotspots.
A
lag
model
was
used
quantify
hotspot
intensity
clustering
dynamics,
while
abiotic,
biotic,
anthropogenic
factors
were
analyzed
assess
associations.
Our
results
revealed
that
hotspots
are
predominantly
concentrated
fertile
lowland
agroecosystems,
with
nearly
60%
high-density
areas
overlapping
zones.
Soil
conditions,
grazing-supporting
landscapes,
arable
subsidized
agricultural
emerged
as
predictors
O.
cuniculus
presence.
observed
dependencies
indicated
intensities
influenced
by
conditions
neighboring
areas,
remain
fundamental
shaping
their
distribution,
highlighting
broader
landscape-scale
affecting
populations.
These
findings
underscore
necessity
adopting
informed
strategies
mitigate
impacts
accounting
for
interconnected
providing
foundation
decision-making
manage
populations
balancing
priorities.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
9
Published: March 24, 2025
This
review
focused
on
the
inventory
of
current
digital
technologies
available
agricultural
market
in
Germany.
A
total
189
were
found
as
December
2023.
Digital
agriculture
rarely
contain
few
components.
They
consist
various
other
that
have
many
common
interfaces.
Therefore,
a
classification
two
levels
was
done:
categorized
according
to
their
type
(software-based
and
hardware-based
technologies)
mode
operation
(farm
management
information
systems/
decision
support
systems,
for
guidance
steering,
platforms,
citizen
science
applications
sensors,
field
robots
unmanned
aerial
vehicles).
Furthermore,
expected
potentials
these
tools
promotion
nature
conservation
ecosystem
service
provisioning
Germany
framed.
The
also
discusses
barriers
can
impact
provisioning.
Germany,
one
world’s
leading
nations
production
use
modern
technologies,
had
set
ambitious
goals
regarding
digitalisation
solution
problems,
which
not
yet
been
fulfilled.
are
still
strongly
supressed
by
non-sustainable
barriers,
e.g.,
high
acquisition
costs,
practical
maturity,
infrastructure.
Current
policies
societal
preferences
contributing
enough
steer
direction
providing
services.
main
participants
discussion
researchers,
whereby
smallest
group
farmers.
For
sustainable
transformation
agriculture,
including
restoration
protection
targets
nature,
ecosystems,
more
wide-ranging,
diversifying
changes
supported
needed
along
ecological
concepts
long-term
resilience
systems.
SAE technical papers on CD-ROM/SAE technical paper series,
Journal Year:
2025,
Volume and Issue:
1
Published: Feb. 7, 2025
<div
class="section
abstract"><div
class="htmlview
paragraph">Human-wildlife
conflicts
pose
significant
challenges
to
both
conservation
efforts
and
community
well-being.
As
these
escalate
globally,
innovative
technologies
become
imperative
for
effective
humane
management
strategies.
This
paper
presents
an
integrated
autonomous
drone
solution
designed
mitigate
human-wildlife
by
leveraging
in
surveillance
artificial
intelligence.
The
proposed
system
consists
of
stationary
IR
cameras
that
are
setup
within
the
conflict
prone
areas,
which
utilizes
machine
learning
identify
presence
wild
animals
send
corresponding
location
a
docking
station.
An
equipped
with
high-resolution
sensors
is
deployed
from
station
provided
location.
camera
object
detection
technology
scan
specified
zone
detect
animal
emit
repelling
ultrasonic
sound
device
achieve
non-invasive
deterrence
provides
approaches
develop
algorithms,
optimize
strategies,
adapt
evolving
dynamics
wildlife
behavior.
promising
avenue
addressing
conflicts,
promoting
coexistence,
contributing
broader
field
technology-driven
ecological
management.</div></div>
Drones,
Journal Year:
2023,
Volume and Issue:
7(11), P. 661 - 661
Published: Nov. 6, 2023
Wildlife
abundance
surveys
are
important
tools
for
making
decisions
regarding
nature
conservation
and
management.
Cryptic
nocturnal
mammals
can
be
difficult
to
monitor,
methods
obtain
more
accurate
data
on
density
population
trends
of
these
species
needed.
We
propose
a
novel
monitoring
method
using
an
aerial
drone
with
laser
rangefinder
high
zoom
capabilities
thermal
imagery.
By
manually
operating
the
drone,
survey
area
initially
scanned
in
radius
several
kilometers,
when
point
interest
is
observed,
animals
could
identified
from
up
one
kilometer
away
by
zooming
while
maintains
altitude
120
m.
With
rangefinder,
precise
coordinate
detected
animal
recorded
instantly.
Over
ten
surveys,
scouring
significantly
hares
than
traditional
transect
spotlight
count
conducted
trained
volunteers
scanning
same
farmland
within
timeframe
(p
=
0.002,
Wilcoxon
paired
rank
test).
The
difference
between
was
hare
density-dependent
(R
0.45,
p
0.19,
Pearson’s
product–moment
correlation);
larger
hares,
two
benefit
method.
There
linear
relation
records
deer
0.69,
0.027),
no
found
carnivores
counts.
This
may
due
carnivores’
speed
vigilance
or
lack
data.
Furthermore,
cover
three
times
as
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
counts.
aim
this
study
was
investigate
use
DJI
Mavic
2
Enterprise
Advanced
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
hare.
applied
methodology
then
evaluated
through
case
survey
had
an
area
242
ha.
Hare
detected
at
altitudes
up
80
m
it
possible
fly
low
40
without
observing
direct
behavior
changes.
Thermal
images
taken
these
also
provided
enough
detail
differentiate
between
species
animal
body
size
proved
good
indicator.
confirmed
based
identify
conduct
counts,
thus,
indicating
suggested
viable
alternative
traditional
Drones,
Journal Year:
2023,
Volume and Issue:
8(1), P. 2 - 2
Published: Dec. 24, 2023
Wildlife
monitoring
can
be
time-consuming
and
expensive,
but
the
fast-developing
technologies
of
uncrewed
aerial
vehicles,
sensors,
machine
learning
pave
way
for
automated
monitoring.
In
this
study,
we
trained
YOLOv5
neural
networks
to
detect
points
interest,
hare
(Lepus
europaeus),
roe
deer
(Capreolus
capreolus)
in
thermal
footage
proposed
a
method
manually
assess
parameter
mean
average
precision
(mAP)
compared
number
actual
false
positive
negative
detections
subsample.
This
showed
that
mAP
close
1
model
does
not
necessarily
perfect
detection
provided
gain
insights
into
parameters
affecting
models’
precision.
Furthermore,
basic,
conceptual
algorithm
implementing
real-time
object
aircraft
systems
equipped
with
high
zoom
capabilities,
laser
rangefinder.
Real-time
is
becoming
an
invaluable
complementary
tool
cryptic
nocturnal
animals
use
sensors.
JITCE (Journal of Information Technology and Computer Engineering),
Journal Year:
2022,
Volume and Issue:
6(01), P. 8 - 13
Published: March 31, 2022
The
utilization
of
thermal
image
in
supporting
precision
agriculture
is
tremendous
nowadays.
There
are
many
applications
images
agricultural
fields,
such
as
detecting
crop
water
stress,
monitoring
free-range
rabbits,
measuring
canopy
temperature
and
so
on.
Furthermore,
the
importance
camera
became
urgent
need
perform
smart
agriculture.
Otherwise,
price
very
expensive
todays.
Then,
this
kind
not
easy
to
find
market.
Therefore,
it
makes
implementation
difficult.
In
order
handle
problem,
proposed
method
intends
generate
from
visible
images.
Further,
information
concerning
with
agriculture,
especially
fertility
leaves
paddy
fields
stress
can
be
monitored.
uses
deep
learning
architecture
learn
dataset.
It
applies
Generative
Adversarial
Network
architecture.
This
GAN
pre-trained
model
trained
using
150
training
dataset
tested
testset.
obtained
used
for
generating
results
show
constructed
has
high
accuracy.
assessment
metric
SSIM
PSNR
methods.
Their
indexes
that
have
visual
shows
reconstructed
also
precision.
Finally,
implemented
purposes.
Global NEST International Conference on Environmental Science & Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 11, 2024
For
more
than
20
years,
the
European
Wild
Rabbit
(WR)
(Oryctolagus
Cuniculus)
is
considered
a
pest
in
Lemnos
island,
Greece,
due
to
significant
crop
damage.
Authorities
took
insufficient
actions
control
WR
overpopulation,
resulting
only
managing
its
effect
on
losses
with
farmers’
compensation.
The
current
study
aims
redefine
problem
by
transforming
population
local
commodity,
where
hunting
could
supply
market
(restaurants
and
butcheries)
products.
Semi-structured
qualitative
interviews
from
stakeholders
were
analyzed
using
content
analysis,
identify
their
priorities
problem.
Additionally,
relative
press
articles
(2016–2021)
recorded
qualitatively.
Furthermore,
National
legal
framework
was
studied
understand
implementation
of
selling
procedures
markets.
main
events’
timeline
overpopulation
identified
stakeholders’
key
points
combined
create
viable
solution.
These
highlights
include
affected
areas
interest,
processes,
interest
demand
consumption.
national
legislation
at
identified,
activation
proposed
for
turning
into
sustainable
product
gastronomy.
present
research
APC
funded
EPAnEk-NRSF
2014-2020;
Operational
Program
“Competitiveness,
Entrepreneurship
Innovation,
Call
111
“Support
Regional
Excellence”
context
program:
AGRICA
II:
AGrifood
Research
Innovation
Network
ExCellence
Aegean,
which
co-financed
Development
Fund
(ERDF),
MIS
code:
5046750.