Precision Agroforestry
Advances in environmental engineering and green technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 397 - 414
Published: Feb. 28, 2025
Precision
agroforestry
is
a
novel
farming
system
that
adopts
remote
sensing
data,
Geographic
Information
Systems
(GIS),
still
GPS
technology
and
Soil
out
there
to
manage
land
additional
efficiently
mid-roll
false
setting
up
congenial
growing
conditions
for
plants.
There
are
emerging
technological
innovations
which
explores
precision
by
uniquely
focusing
on
digital
tools
i.e.,
twins,
big
data
analytics,
machine
learning.
Utilizing
these
technologies
enables
farmers
maximize
their
use
of
resources,
while
optimizing
crop
yields
advancing
ecological
health.
With
global
food
demands
increasing
pressures
the
environmental
greater,
this
new
study
highlights
importance
stakeholders
working
together
solve
current
issues
foster
sustainable
through
practices.
Ultimately,
an
essential
paradigm
achieving
management
reconciles
agricultural
productivity
with
stewardship
transformative
agriculture
solution
all
time.
Language: Английский
Navigating the Terrain of Sustainability Trajectories of Environment
Practice, progress, and proficiency in sustainability,
Journal Year:
2024,
Volume and Issue:
unknown, P. 355 - 374
Published: Nov. 22, 2024
The
targeted
actions
that
protect-restore
and
encourage
the
preservation
sustainable
use
of
terrestrial
other
ecosystems
are
necessary
to
support
variety
living
forms
inhabit
land.
Sustainable
Development
Goal
(SDG)
15
focuses
on
preventing
biodiversity
loss,
effectively
combating
desertification,
reversing
habitat
land
degradation
managing
forests
sustainably.
In
addition
providing
vital
functions
like
carbon
sequestration,
soil
quality
maintenance,
provision
for
biodiversity,
water
flow
management,
erosion
control,
also
provide
a
goods
including
food,
energy
building
materials.
These
processes
essential
controlling
climate,
promoting
agricultural
output
reducing
danger
natural
disasters
landslides
floods.
This
chapter
explores
multifaceted
challenges
opportunities
associated
with
SDG
(Life
Land)
via
focusing
relationships
between
environment
protection.
Language: Английский
Wildlife and Forest Resource Management With Artificial Intelligence
Advances in environmental engineering and green technologies book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 301 - 324
Published: Nov. 29, 2024
The
incorporation
if
AI
in
the
management
of
wildlife
and
forest
assets
can
transform
conservation
challenges
by
providing
new
ways
to
protect
biodiversity
ensure
ecosystem
sustainability.
Machine
learning,
computer
vision
other
technologies
are
monitor
populations
with
high
accuracy.
These
include
tools
that
enable
analyses
vast
datasets
collected
from
remotely
sensed
including
drones,
satellite
imagery
for
real-time
dynamics.
Though
provides
many
benefits,
there
numerous
issues
must
be
tackled
around
all
things
data
privacy
ethical
considerations
necessity
a
transactional
or
multi-disciplinary
attempt
on
it.
This
chapter
comprehensively
explores
used
sustainable
resources
humans
thought
they
might
not
manage
forever
because
it
is
important
keep
them
alive.
Language: Английский
Human Activity Tracking via Machine Learning Methods in a Smart Healthcare Informatics
Advances in human and social aspects of technology book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 261 - 288
Published: Oct. 18, 2024
The
new
era
of
“smart
health”
has
begun
as
a
result
advances
in
advanced
technology,
revolutionizing
patient
and
medical
staff
healthcare
procedures
both
inside
outside
hospitals.
Patients
can
now
gather
thorough
health
data
utilizing
cellphones
wearable
independent
their
geographic
location
or
time
zone.
However,
present
tactics
for
smart-health
devices
tend
to
focus
on
the
smartness
technology
itself
controlling
specific
disease
condition.
use
this
patient-generated
holds
great
promise
future
breakthroughs
many
ways.
This
chapter
focuses
Human
Activity
Tracking
via
Machine
Learning
Methods
Smart
Healthcare
Informatics
which
Legal
Challenges,
Security
Issues,
Opportunities
Applications
towards
Monitoring
Diagnosis
Technologies.
Language: Английский