Indus journal of bioscience research.,
Год журнала:
2025,
Номер
3(1), С. 85 - 94
Опубликована: Янв. 16, 2025
This
research
aims
at
evaluating
the
effectiveness
of
precision
irrigation
systems
in
increasing
yield
and
water
productivity
maize
production.
While
it
is
well
understood
that
technology
offers
ability
to
apply
selectively
and,
therefore,
be
resource-saving,
potential
benefits
practice
have
not
been
researched
adequately.
Quantitative
data
was
obtained
through
survey
administration
with
50
farmers
on
use
perception
irrigation.
Descriptive
inferential
analytical
tools
such
as
Chi-Square
tests,
t-tests
regression
analysis
were
used
test
hypothesis
practices
has
positive
effects
crop
yields
use.
The
results
suggest
technologies
do
increase
or
efficiency
sample
analyzed.
correlation
tests
showed
no
meaning
co-efficient
there
correlations
for
most
variables
impacts
found
variance
either,
moreover,
R-squared
very
low,
thus
might
other
factors
could
possibly
more
important
defining
production
also
finds
despite
advantages
systems,
their
implementation
does
improve
examined
scenario.
underlines
fact
agricultural
are
highly
differentiated
why
necessary
take
into
account
local
conditions
order
technologies.
Applied Sciences,
Год журнала:
2023,
Номер
13(16), С. 9288 - 9288
Опубликована: Авг. 16, 2023
Machine
learning
applications
are
having
a
great
impact
on
the
global
economy
by
transforming
data
processing
method
and
decision
making.
Agriculture
is
one
of
fields
where
significant,
considering
crisis
for
food
supply.
This
research
investigates
potential
benefits
integrating
machine
algorithms
in
modern
agriculture.
The
main
focus
these
to
help
optimize
crop
production
reduce
waste
through
informed
decisions
regarding
planting,
watering,
harvesting
crops.
paper
includes
discussion
current
state
agriculture,
highlighting
key
challenges
opportunities,
presents
experimental
results
that
demonstrate
changing
labels
accuracy
analysis
algorithms.
findings
recommend
analyzing
wide-ranging
collected
from
farms,
incorporating
online
IoT
sensor
were
obtained
real-time
manner,
farmers
can
make
more
verdicts
about
factors
affect
growth.
Eventually,
technologies
transform
agriculture
increasing
yields
while
minimizing
waste.
Fifteen
different
have
been
considered
evaluate
most
appropriate
use
new
feature
combination
scheme-enhanced
algorithm
presented.
show
we
achieve
classification
99.59%
using
Bayes
Net
99.46%
Naïve
Classifier
Hoeffding
Tree
These
will
indicate
an
increase
rates
effective
cost
leading
resilient
infrastructure
sustainable
environments.
Moreover,
this
study
also
future
detect
diseases
early,
efficiency,
prices
when
world
experiencing
shortages.
Advances in computational intelligence and robotics book series,
Год журнала:
2023,
Номер
unknown, С. 1 - 26
Опубликована: Сен. 25, 2023
The
integration
of
deep
learning
and
blockchain
technologies
has
the
potential
to
revolutionize
soil
quality
prediction
in
smart
agriculture.
Deep
models,
like
neural
networks
convolutional
networks,
enable
accurate
predictions
properties
by
considering
intricate
relationships
within
data.
Contextual
approaches,
including
embeddings
data
fusion,
enrich
process
incorporating
external
factors
weather
conditions
land
management
practices.
Blockchain
technology
ensures
secure
storage
data,
while
contracts
facilitate
automated
model
execution.
This
integrated
system
empowers
farmers
with
for
optimal
resource
allocation
fosters
collaboration
through
decentralized
sharing.
Future
directions
include
advancements
algorithms,
applications,
IoT
remote
sensing
technologies.
Agronomy,
Год журнала:
2024,
Номер
14(3), С. 548 - 548
Опубликована: Март 7, 2024
Plastic
products
in
plant
production
and
protection
help
farmers
increase
crop
production,
enhance
food
quality,
reduce
global
water
use
their
environmental
footprint.
Simultaneously,
plastic
has
emerged
as
a
critical
ecological
issue
recent
years,
its
pollution
significantly
impacted
soil,
water,
plants.
Thus,
this
review
examines
the
multifaceted
problems
of
agriculture
risk
to
security,
ecosystem,
environment.
The
study’s
objective
was
present
most
information
on
using
different
agriculture,
sources
pollution,
advantages
drawbacks
products,
strategies
for
mitigating
agriculture.
Furthermore,
after
examining
current
applications,
benefits,
adverse
effects,
risks
plants,
environment,
we
addressed
requirements
technological
advancements,
regulations,
social
processes
that
could
contribute
our
ecosystems.
We
identified
pathways
toward
more
sustainable
plastics
discussed
future
research
directions.
Smart Agricultural Technology,
Год журнала:
2023,
Номер
5, С. 100255 - 100255
Опубликована: Май 17, 2023
Future
agricultural
systems
should
increase
productivity
and
sustainability
of
food
production
supply.
For
this,
integrated
efficient
capture,
management,
sharing,
use
environmental
data
from
multiple
sources
is
essential.
However,
there
are
challenges
to
understand
efficiently
different
types
sources,
which
differ
in
format
time
interval.
In
this
regard,
the
role
emerging
technologies
considered
be
significant
for
gathering,
analyses
use.
study,
a
concept
was
developed
facilitate
full
integration
digital
enhance
future
smart
sustainable
systems.
The
has
been
based
on
results
literature
review
diverse
experiences
expertise
enabled
identification
stat-of-the-art
technologies,
knowledge
gaps.
features
proposed
solution
include:
collection
methodologies
using
tools;
platforms
handling
sharing;
application
Artificial
Intelligent
analysis;
edge
cloud
computing;
Blockchain,
decision
support
system;
governance
security
system.
study
identified
potential
positive
implications
i.e.
implementation
could
value,
farm
productivity,
effectiveness
monitoring
operations
making,
provide
innovative
business
models.
contribute
an
overall
competitiveness,
sustainability,
resilience
sector
as
well
transformation
agriculture
rural
areas.
This
also
provided
research
direction
relation
concept.
will
benefit
researchers,
practitioners,
developers
tools,
policy
makers
supporting
transition
smarter
more
Environmental Chemistry and Ecotoxicology,
Год журнала:
2024,
Номер
6, С. 293 - 302
Опубликована: Янв. 1, 2024
Fungal
bioremediation
represents
a
promising
and
sustainable
approach
to
addressing
environmental
pollution
by
exploiting
the
natural
metabolic
capabilities
of
fungi
degrade
detoxify
wide
array
pollutants.
This
review
provides
comprehensive
overview
mechanisms,
applications,
future
perspectives
fungal
bioremediation.
Fungi
are
uniquely
equipped
with
an
extensive
arsenal
enzymes,
including
laccases,
peroxidases,
hydrolases,
which
facilitate
breakdown
complex
organic
compounds,
heavy
metals,
xenobiotics
into
less
harmful
substances.
The
versatility
enables
their
application
across
various
contexts,
soil,
water,
air
remediation.
efficacy
is
demonstrated
in
its
ability
persistent
pollutants
such
as
polycyclic
aromatic
hydrocarbons
(PAHs),
polychlorinated
biphenyls
(PCBs),
petroleum
hydrocarbons,
well
immobilize
transform
metals
through
biosorption
bioaccumulation.
also
discusses
challenges
limitations
associated
bioremediation,
need
for
optimized
conditions
potential
ecological
impacts.
Future
research
directions
highlighted,
integration
omics
technologies
elucidation
pathways
development
biotechnological
innovations
scale
up
processes.
underscores
critical
role
remediation
emphasizes
continued
technological
advancements
harness
full
global
challenges.
