Will Quantum Communication and Processing Accelerate the Progress of Automated and Sustainable Farming?
Pirunthavi Wijikumar,
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Jahan Hassan,
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Anwaar Ulhaq
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et al.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 267 - 306
Published: May 1, 2025
Quantum
computing
is
revolutionizing
computation
and
communication,
with
its
integration
into
drones
transforming
agrotech
other
industries.
The
Internet
of
Drones
(IoQDs)
enables
ultra-secure
rapid
data
processing,
precise
navigation
through
quantum
computing,
sensors.
This
tackles
challenges
in
intelligent
farming,
such
as
real-time
decision-making,
ecological
complexity,
efficient
management.
IoQDs
support
applications
precision
agriculture,
disaster
management,
environmental
monitoring,
defense
using
quantum-based
image
processing
machine
learning.
chapter
explores
advancements,
case
studies,
IoQD
6G
satellites,
ensuring
low-latency
global
connectivity.
Challenges—scalability,
cost,
hardware
downsizing,
regulations
are
analyzed
alongside
potential
solutions.
A
study
on
IoQD-based
weed
detection
demonstrates
agricultural
potential.
Future
directions
highlight
technologies'
transformative
role
drone
networks
across
Language: Английский
Quantum metrology and its applications in civil engineering
Measurement,
Journal Year:
2024,
Volume and Issue:
240, P. 115550 - 115550
Published: Aug. 22, 2024
Language: Английский
High precision single-photon object detection via deep neural networks
Optics Express,
Journal Year:
2024,
Volume and Issue:
32(21), P. 37224 - 37224
Published: Sept. 23, 2024
Single-photon
imaging
is
an
emerging
technology
in
sensing
that
capable
of
and
identifying
remote
objects
under
extreme
conditions.
However,
it
faces
several
challenges,
such
as
low
resolution
high
noise,
to
do
the
task
object
detection.
In
this
work,
we
propose
enhanced
You
Only
Look
Once
network
identify
localize
within
images
generated
by
single-photon
sensing.
We
then
experimentally
test
proposed
on
both
self-built
dataset
VisDrone2019
public
dataset.
Our
results
show
our
achieves
a
higher
detection
accuracy
than
baseline
models.
Moreover,
admits
average
precision
detecting
small
objects.
work
expected
aid
significant
progress
exploring
practical
applications
Language: Английский