Modernizing Wildfire Management Through Deep Learning and IoT in Fire Ecology
V. Valarmathi,
No information about this author
J. Ramkumar
No information about this author
Advances in environmental engineering and green technologies book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 203 - 230
Published: Nov. 29, 2024
The
increasing
frequency
and
severity
of
wildfires
present
critical
challenges
to
ecosystems,
human
safety,
property
underline
the
inefficiency
traditional
methods
fire
detection
management.
This
chapter
will
how
integration
between
DL
IoT
could
give
way
a
revolution
in
ecology
by
providing
innovative
tools
for
real-time
prediction,
detection,
monitoring,
response.
DL,
particular,
through
Convolutional
Recurrent
Neural
Networks,
looks
into
terabytes
data
ranging
from
historical
weather
patterns
topography
predict
assess
wildfire
risks.
aids
this
with
that
emanates
network
sensors,
drones,
cameras
spread
across
susceptible
areas.
synergy
therefore
offers
more
accurate,
timely,
proactive
Future
technologies
focus
on
5G,
blockchain,
advanced
robotics
resilient
management
strategies.
Language: Английский
Synergistic Threats to Wild Fauna in Ecuador: Using a Novel Data Source to Estimate the Impacts of Trafficking and Human–Wildlife Conflict
Diversity,
Journal Year:
2024,
Volume and Issue:
16(8), P. 490 - 490
Published: Aug. 11, 2024
Wildlife
trafficking
and
human–wildlife
conflict
are
major
causes
of
species
decline.
The
illegal
nature
wildlife
makes
it
hard,
sometimes
dangerous,
to
study.
‘Mansión
Mascota’
is
a
veterinary
clinic
in
Guayaquil,
Ecuador,
which,
through
agreement
with
the
Ecuadorian
Ministry
Environment,
receives
confiscated
for
treatment.
Mansión
Mascota
also
injured
abandoned
brought
by
authorities
public.
Between
January
2018
September
2022,
received
3212
wild
animals
from
≥171
taxa,
including
mammals,
birds,
reptiles,
amphibians.
Through
classification
records
based
on
reported
use,
native
distribution,
evidence
capture/pet
keeping,
we
were
able
classify
1127
68
as
subject
trafficking.
Turtles
most
abundant
group
(69%).
majority
turtles
(91%)
primates
(80%)
Amazonian
origin,
whereas
90%
psittacines
97%
carnivores
had
potential
coastal
origins.
Threatened
conservation-dependent
common
traffic.
Furthermore,
≥955
106
due
anthropogenic
conflict.
Trafficking,
combined
high
number
animals,
highlights
synergistic
threats
facing
Ecuador.
Language: Английский