Sensors,
Год журнала:
2022,
Номер
23(1), С. 403 - 403
Опубликована: Дек. 30, 2022
Soil
nutrients
assessment
has
great
importance
in
horticulture.
Implementation
of
an
information
system
for
horticulture
faces
many
challenges:
(i)
spatial
variability
within
farms
(e.g.,
hilly
topography);
(ii)
different
soil
properties
water
holding
capacity,
content
sand,
sit,
clay,
and
organic
matter,
pH,
permeability)
cultivated
plants;
(iii)
nutrient
uptake
by
(iv)
small
size
monoculture;
(v)
variety
farm
components,
agroecological
zone,
socio-economic
factors.
Advances
communication
technologies
enable
creation
low
cost,
efficient
systems
that
would
improve
resources
management
increase
productivity
sustainability
horticultural
farms.
We
present
based
on
sensing
capability,
Internet
Things,
mobile
application
An
overview
techniques
fertility
evaluation
is
also
presented.
The
results
obtained
a
botanical
garden
simulates
the
diversity
environment
plant
are
discussed
considering
challenges
identified
literature
field
research.
study
provides
theoretical
basis
technical
support
development
farmers
to
management.
Computers and Electronics in Agriculture,
Год журнала:
2022,
Номер
198, С. 107017 - 107017
Опубликована: Май 18, 2022
Drones,
also
called
Unmanned
Aerial
Vehicles
(UAV),
have
witnessed
a
remarkable
development
in
recent
decades.
In
agriculture,
they
changed
farming
practices
by
offering
farmers
substantial
cost
savings,
increased
operational
efficiency,
and
better
profitability.
Over
the
past
decades,
topic
of
agricultural
drones
has
attracted
academic
attention.
We
therefore
conduct
comprehensive
review
based
on
bibliometrics
to
summarize
structure
existing
literature
reveal
current
research
trends
hotspots.
apply
bibliometric
techniques
analyze
surrounding
assess
previous
research.
Our
analysis
indicates
that
remote
sensing,
precision
deep
learning,
machine
Internet
Things
are
critical
topics
related
drones.
The
co-citation
reveals
six
broad
clusters
literature.
This
study
is
one
first
attempts
drone
agriculture
suggest
future
directions.
Remote Sensing,
Год журнала:
2021,
Номер
13(8), С. 1562 - 1562
Опубликована: Апрель 17, 2021
Unmanned
aerial
vehicle
(UAV)-based
hyperspectral
remote
sensing
is
an
important
monitoring
technology
for
the
soil
moisture
content
(SMC)
of
agroecological
systems
in
arid
regions.
This
develops
precision
farming
and
agricultural
informatization.
However,
data
are
generally
used
mining.
In
this
study,
UAV-based
imaging
with
a
resolution
o
4
cm
totaling
70
samples
(0–10
cm)
were
collected
from
farmland
(2.5
×
104
m2)
near
Fukang
City,
Xinjiang
Uygur
Autonomous
Region,
China.
Four
estimation
strategies
tested:
original
image
(strategy
I),
first-
second-order
derivative
methods
II),
fractional-order
(FOD)
technique
III),
optimal
fractional
order
combined
multiband
indices
IV).
These
based
on
eXtreme
Gradient
Boost
(XGBoost)
algorithm,
aim
building
best
model
SMC
The
results
demonstrated
that
FOD
could
effectively
mine
information
(with
absolute
maximum
correlation
coefficient
0.768).
By
comparison,
strategy
IV
yielded
estimates
out
tested
(R2val
=
0.921,
RMSEP
1.943,
RPD
2.736)
SMC.
derived
0.4
within
worked
relatively
well
among
different
I,
II,
III).
conclusion,
combination
generated
highly
accurate
XGBoost
algorithm
estimation.
research
provided
promising
mining
approach
data.
Foods,
Год журнала:
2023,
Номер
12(14), С. 2709 - 2709
Опубликована: Июль 15, 2023
While
recognizing
the
gaps
in
pesticide
regulations
that
impact
consumer
safety,
public
health
concerns
associated
with
contamination
of
foods
are
pointed
out.
The
strategies
and
research
directions
proposed
to
prevent
and/or
reduce
adverse
effects
on
human
environment
discussed.
Special
attention
is
paid
organophosphate
pesticides,
as
widely
applied
insecticides
agriculture,
veterinary
practices,
urban
areas.
Biotic
abiotic
for
degradation
discussed
from
a
food
safety
perspective,
indicating
challenges
potential
further
improvements.
As
systems
endangered
globally
by
unprecedented
challenges,
there
an
urgent
need
harmonize
improve
methodologies
area
protect
health.
Drones,
Год журнала:
2024,
Номер
8(11), С. 686 - 686
Опубликована: Ноя. 19, 2024
In
the
face
of
growing
challenges
in
modern
agriculture,
such
as
climate
change,
sustainable
resource
management,
and
food
security,
drones
are
emerging
essential
tools
for
transforming
precision
agriculture.
This
systematic
review,
based
on
an
in-depth
analysis
recent
scientific
literature
(2020–2024),
provides
a
comprehensive
synthesis
current
drone
applications
agricultural
sector,
primarily
focusing
studies
from
this
period
while
including
few
notable
exceptions
particular
interest.
Our
study
examines
detail
technological
advancements
systems,
innovative
aerial
platforms,
cutting-edge
multispectral
hyperspectral
sensors,
advanced
navigation
communication
systems.
We
analyze
diagnostic
applications,
crop
monitoring
mapping,
well
interventional
like
spraying
drone-assisted
seeding.
The
integration
artificial
intelligence
IoTs
analyzing
drone-collected
data
is
highlighted,
demonstrating
significant
improvements
early
disease
detection,
yield
estimation,
irrigation
management.
Specific
case
illustrate
effectiveness
various
crops,
viticulture
to
cereal
cultivation.
Despite
these
advancements,
we
identify
several
obstacles
widespread
adoption,
regulatory,
technological,
socio-economic
challenges.
particularly
emphasizes
need
harmonize
regulations
beyond
visual
line
sight
(BVLOS)
flights
improve
economic
accessibility
small-scale
farmers.
review
also
identifies
key
opportunities
future
research,
use
swarms,
improved
energy
autonomy,
development
more
sophisticated
decision-support
systems
integrating
data.
conclusion,
underscore
transformative
potential
technology
sustainable,
productive,
resilient
agriculture
global
21st
century,
highlighting
integrated
approach
combining
innovation,
adapted
policies,
farmer
training.
Remote Sensing,
Год журнала:
2021,
Номер
13(20), С. 4155 - 4155
Опубликована: Окт. 17, 2021
Currently,
the
world
is
facing
high
competition
and
market
risks
in
improving
yield,
crop
illness,
water
stress.
This
could
potentially
be
addressed
by
technological
advancements
form
of
precision
systems,
improvements
production,
through
ensuring
sustainability
development.
In
this
context,
remote-sensing
systems
are
fully
equipped
to
address
complex
technical
assessment
security,
stress
an
easy
efficient
way.
They
provide
simple
timely
solutions
for
a
diverse
set
ecological
zones.
critical
review
highlights
novel
methods
evaluating
its
correlation
with
certain
measurable
parameters,
investigated
using
systems.
Through
examination
previous
literature,
technologies,
data,
we
application
analysis
Initially,
study
presents
relationship
relative
content
(RWC)
equivalent
thickness
(EWT)
soil
moisture
Evapotranspiration
sun-induced
chlorophyll
fluorescence
then
analyzed
relation
remote
sensing.
Finally,
various
technologies
used
detect
stress,
including
optical
sensing
thermometric
land-surface
temperature-sensing
multispectral
(spaceborne
airborne)
hyperspectral
LiDAR
system.
The
also
future
prospects
analyzing
how
they
further
improved.
Remote Sensing,
Год журнала:
2022,
Номер
14(7), С. 1604 - 1604
Опубликована: Март 27, 2022
This
review
focuses
on
the
use
of
unmanned
aerial
vehicles
(UAVs)
in
precision
agriculture,
and
specifically,
viticulture
(PV),
is
intended
to
present
a
bibliometric
analysis
their
developments
field.
To
this
aim,
research
papers
published
last
15
years
presented
based
Scopus
database.
The
shows
that
researchers
from
United
States,
China,
Italy
Spain
lead
agriculture
through
UAV
applications.
In
terms
employing
UAVs
PV,
are
fast
extending
work
followed
by
finally
States.
Additionally,
paper
provides
comprehensive
study
popular
journals
for
academicians
submit
work,
accessible
funding
organizations,
nations,
institutions,
authors
conducting
utilizing
agriculture.
Finally,
emphasizes
necessity
using
PV
as
well
future
possibilities.
Journal of Agronomy and Crop Science,
Год журнала:
2022,
Номер
209(1), С. 56 - 70
Опубликована: Фев. 7, 2022
Abstract
Maize
production
in
Thailand
is
increasingly
suffering
from
drought
periods
along
the
cropping
season.
This
creates
need
for
rapid
and
accurate
methods
to
detect
crop
water
stress
prevent
yield
loss.
The
study
was,
therefore,
conducted
improve
efficacy
of
thermal
imaging
assessing
maize
prediction.
experiment
was
carried
out
under
controlled
field
conditions
Phitsanulok,
Thailand.
Five
treatments
were
applied,
including
(T1)
fully
irrigated
treatment
with
100%
requirement
(CWR)
as
control;
(T2)
early
50%
CWR
20
days
after
sowing
(DAS)
until
anthesis
subsequent
rewatering;
(T3)
sustained
deficit
at
DAS
harvest;
(T4)
late
(T5)
no
irrigation
anthesis.
Canopy
temperature
(FLIR),
growth
soil
moisture
measured
5‐day‐intervals.
Under
conditions,
significantly
reduced
yield.
Water
had
significant
effect.
A
new
combination
wet/dry
sponge
type
reference
surfaces
used
determination
Crop
Stress
Index
(CWSI).
There
a
strong
relationship
between
CWSI
stomatal
conductance
(
R
²
=
0.90),
0.35
being
correlated
64%‐yield
Assessing
55
DAS,
that
is,
tasseling,
greenhouse
corresponded
best
final
linear
regression
model
validated
well
both
lowland
0.94)
upland
fields
0.97)
prevailing
variety,
climate
conditions.
results
demonstrate
that,
using
improved
standardized
references
data
acquisition
protocols,
monitoring
according
critical
phenological
stages
enables
prediction
stress.
