Advanced Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 22, 2025
This
study
introduces
an
artificial
intelligence
(AI)‐driven
robotic
system
utilizing
a
3D‐printed
electrophysiological
(EP)
sensor
for
noninvasive,
real‐time
monitoring
of
plant
health
signals
across
different
irrigation
levels,
highlighting
the
crucial
role
these
technologies
in
enhancing
smart
agriculture
and
sustainability.
The
sensing
consists
mobile
robot
with
3D
EP
portable
Faraday
cage
data
acquisition,
using
AI‐powered
convolution
neural
network
to
analyze
greenhouses
categorize
levels
optimize
water
usage
scalable
agricultural
management.
findings
reveal
that
displays
lower
more
stable
contact
resistance
(2.10
±
0.52
MΩ)
compared
flat
thin‐film
sensors
(2.96
1.45
MΩ),
ensuring
high
electrical
reliability
due
effective
hairy
tomato
leaves.
sensor's
sensitivity
(signal
resolution
0.0122
mV)
detects
subtle
signal
changes
linked
aiding
optimization
crop
yield
enhancement.
For
first
time,
this
employs
scalogram
images
detailed
analysis
signals,
achieving
classification
accuracy
86.91%,
comparable
red,
gren,
blue
image‐based
methods
(86.37%).
is
reliable
tool
long‐term
farming
provides
insights
into
dynamics.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
17, P. 5920 - 5945
Published: Jan. 1, 2024
Agriculture
can
be
regarded
as
the
backbone
of
human
civilization.
As
technology
evolved,
synergy
between
agriculture
and
remote
sensing
has
brought
about
a
paradigm
shift,
thereby
entirely
revolutionizing
traditional
agricultural
practices.
Nevertheless,
adoption
technologies
in
face
various
challenges
terms
limited
spatial
temporal
coverage,
high
cloud
cover,
low
data
quality
so
on.
Industry
5.0
marks
new
era
industrial
revolution,
where
humans
machines
collaborate
closely,
leveraging
their
distinct
capabilities,
enhancing
decision
making
sustainability
resilience.
This
paper
provides
comprehensive
survey
on
related
aspects
dealing
with
practices
(I5.0)
era.
We
also
elaborately
discuss
applications
pertaining
to
I5.0-
enabled
for
agriculture.
Finally,
we
several
issues
integration
I5.0
sensing.
offers
valuable
insights
into
current
state,
challenges,
potential
advancements
principles
agriculture,
thus
paving
way
future
research,
development,
implementation
strategies
this
domain.
Plant Phenomics,
Journal Year:
2023,
Volume and Issue:
5
Published: Jan. 1, 2023
The
advancement
of
plant
phenomics
by
using
optical
imaging-based
phenotyping
techniques
has
markedly
improved
breeding
and
crop
management.
However,
there
remains
a
challenge
in
increasing
the
spatial
resolution
accuracy
due
to
their
noncontact
measurement
mode.
Wearable
sensors,
an
emerging
data
collection
tool,
present
promising
solution
address
these
challenges.
By
contact
mode,
wearable
sensors
enable
in-situ
monitoring
phenotypes
surrounding
environments.
Although
few
pioneering
works
have
been
reported
growth
microclimate,
utilization
yet
reach
its
full
potential.
This
review
aims
systematically
examine
progress
environment
from
interdisciplinary
perspective,
including
materials
science,
signal
communication,
manufacturing
technology,
physiology.
Additionally,
this
discusses
challenges
future
directions
field
phenotyping.
Biomimetics,
Journal Year:
2024,
Volume and Issue:
9(7), P. 390 - 390
Published: June 26, 2024
This
review
explores
the
extensive
applications
of
plants
in
areas
biomimetics
and
bioinspiration,
highlighting
their
role
developing
sustainable
solutions
across
various
fields
such
as
medicine,
materials
science,
environmental
technology.
Plants
not
only
serve
essential
ecological
functions
but
also
provide
a
rich
source
inspiration
for
innovations
green
nanotechnology,
biomedicine,
architecture.
In
past
decade,
focus
has
shifted
towards
utilizing
plant-based
vegetal
waste
creating
eco-friendly
cost-effective
with
remarkable
properties.
These
are
employed
making
advancements
drug
delivery,
remediation,
production
renewable
energy.
Specifically,
discusses
use
(nano)bionic
capable
detecting
explosives
contaminants,
underscoring
potential
improving
quality
life
even
lifesaving
applications.
The
work
refers
to
architectural
inspirations
drawn
from
plant
world
develop
novel
design
concepts
that
both
functional
aesthetic.
It
elaborates
on
how
engineered
have
been
transformed
into
value-added
through
innovative
applications,
especially
roles
wastewater
treatment
electronic
components.
Moreover,
integration
synthesis
biocompatible
medical
tissue
engineering
scaffolds
artificial
muscles
demonstrates
versatility
capacity
replace
more
traditional
synthetic
materials,
aligning
global
sustainability
goals.
paper
provides
comprehensive
overview
current
uses
living
technological
advancements,
advocating
deeper
exploration
address
pressing
challenges.
Chemosensors,
Journal Year:
2024,
Volume and Issue:
12(1), P. 13 - 13
Published: Jan. 12, 2024
Ethylene,
an
important
phytohormone,
significantly
influences
plant
growth
and
the
ripeness
of
fruits
vegetables.
During
transportation
storage
agricultural
products,
excessive
ethylene
can
lead
to
economic
losses
due
rapid
deterioration.
Metal
oxide
semiconductor
(MOS)-based
chemo-resistive
sensors
are
a
promising
technology
for
detection
their
low
cost,
high
sensitivity,
portability,
etc.
This
review
comprehensively
summarizes
materials,
fabrications,
applications,
sensing
mechanisms
these
sensors.
Moreover,
current
challenges
highlighted
potential
solutions
proposed.
Journal of Nanobiotechnology,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Feb. 8, 2024
Abstract
Background
Exosomes
are
nanoscale
extracellular
vesicles
(30–160
nm)
with
endosome
origin
secreted
by
almost
all
types
of
cells,
which
considered
to
be
messengers
intercellular
communication.
Cancerous
exosomes
serve
as
a
rich
source
biomarkers
for
monitoring
changes
in
cancer-related
physiological
status,
because
they
carry
large
number
biological
macromolecules
derived
from
parental
tumors.
The
ultrasensitive
quantification
trace
amounts
cancerous
is
highly
valuable
non-invasive
early
cancer
diagnosis,
yet
it
remains
challenging.
Herein,
we
developed
an
aptamer-carrying
tetrahedral
DNA
(Apt-TDNA)
microelectrode
sensor,
assisted
polydopamine
(PDA)
coating
semiconducting
properties,
the
electrochemical
detection
cancer-derived
exosomes.
Results
stable
rigid
structure
and
orientation
Apt-TDNA
ensured
efficient
capture
suspended
Without
PDA
signal
amplification
strategy,
sensor
has
linear
working
range
10
2
–10
7
particles
mL
−1
,
LOD
~
69
42
EIS
DPV,
respectively.
With
coating,
further
amplified,
achieving
single
particle
level
sensitivity
(~
14
6
DPV).
Conclusions
proposed
PDA-assisted
integrates
exosome
capture,
sensitive
feedback
amplification,
provides
new
avenue
development
simple
sensing
techniques
diagnosis
treatment
response.
Graphical
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(8), P. 1225 - 1225
Published: July 25, 2024
The
potato
is
a
key
crop
in
addressing
global
hunger,
and
deep
learning
at
the
core
of
smart
agriculture.
Applying
(e.g.,
YOLO
series,
ResNet,
CNN,
LSTM,
etc.)
production
can
enhance
both
yield
economic
efficiency.
Therefore,
researching
efficient
models
for
great
importance.
Common
application
areas
chain,
aimed
improving
yield,
include
pest
disease
detection
diagnosis,
plant
health
status
monitoring,
prediction
product
quality
detection,
irrigation
strategies,
fertilization
management,
price
forecasting.
main
objective
this
review
to
compile
research
progress
various
processes
provide
direction
future
research.
Specifically,
paper
categorizes
applications
into
four
types,
thereby
discussing
introducing
advantages
disadvantages
aforementioned
fields,
it
discusses
directions.
This
provides
an
overview
describes
its
current
stages
chain.
Outlook on Agriculture,
Journal Year:
2023,
Volume and Issue:
52(4), P. 469 - 485
Published: Oct. 11, 2023
The
global
agricultural
paradigm
is
witnessing
a
transformative
shift
with
the
advent
of
precision
agriculture.
While
large-scale
enterprises
have
been
swift
in
their
embrace
this
innovation,
its
uptake
among
small-scale
farmers
remains
nuanced
and
complex.
This
study
elucidates
multi-faceted
determinants
that
influence
adoption
agriculture
within
farming
sector.
adopts
systematic
literature
review
approach,
meticulously
selecting
analysing
29
relevant
papers.
Drawing
upon
an
exhaustive
empirical
analyses,
research
presents
composite
framework
weaving
economic,
technological,
social,
environmental
factors.
Among
these,
social
dynamics
emerge
as
most
significant
factor,
shaped
by
awareness
levels,
knowledge
dissemination
pathways,
entrenched
cultural
norms.
These
elements
often
intertwine
ingrained
traditional
practices
perceptions,
forming
intricate
layer
shaping
attitudes.
Notably,
although
economic
factors
like
substantial
initial
investments
calculus
Return
on
Investment
are
present,
they
overshadowed
considerations.
technological
landscape
characterised
challenges
digital
literacy,
infrastructural
readiness,
interoperability.
Lastly,
imperatives,
underscored
resource
scarcity,
climate
change
resilience,
ecosystem
services,
offer
both
motivations.
Together,
these
delineate
roadmap
guiding
journey
toward
adoption.
comprehensive
exploration
provides
stakeholders
actionable
insights,
fostering
informed
decision-making
strategic
interventions
to
augment
agriculture's
integration
tapestry.
