Agriculture
is
one
of
Brazil's
primary
sources
income
and
has
grown
steadily
over
the
years.
Despite
this
continuous
growth,
sector
faces
persistent
challenges
related
to
water
supply
climate
change,
which
are
expected
intensify
time,
exacerbating
farmers'
problems.
This
paper
presents
development
a
low-cost
system
that
leverages
Internet
Things
(IoT)
Machine
Learning
(ML)
technologies
address
these
challenges.
The
forecasts
soil
moisture
for
up
24
hours
in
advance,
enabling
estimation
required
irrigation
fruit
crops.
experimental
results
highlight
effectiveness
integrating
IoT
ML
precise
management,
with
Long
Short-Term
Memory
(LSTM)
algorithm
demonstrating
best
performance,
achieving
Mean
Squared
Error
(MSE)
11.9487,
Root
(RMSE)
3.4567,
an
R2
Score
99%.
proposed
approach
improves
efficiency
provides
scalable
cost-effective
solution
empowers
farmers
boost
agricultural
productivity
sustainability.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(7), P. 1141 - 1141
Published: July 14, 2024
Water
is
considered
one
of
the
vital
natural
resources
and
factors
for
performing
short-
long-term
agricultural
practices
on
Earth.
Meanwhile,
globally,
most
available
freshwater
are
utilized
irrigation
purposes
in
agriculture.
Currently,
many
world
regions
facing
extreme
water
shortage
problems,
which
can
worsen
if
not
managed
properly.
In
literature,
numerous
methods
remedies
used
to
cope
with
increasing
global
crises.
The
use
precision
water-saving
systems
(PISs)
efficient
management
under
climate
change
them
a
highly
recommended
approach
by
researchers.
It
mitigate
adverse
effects
changing
help
enhance
efficiency,
crop
yield,
environmental
footprints.
Thus,
present
study
aimed
comprehensively
examine
review
PISs,
focusing
their
development,
implementation,
positive
impacts
sustainable
management.
addition,
we
searched
literature
using
different
online
search
engines
reviewed
summarized
main
results
previously
published
papers
PISs.
We
discussed
traditional
method
its
modernization
enhancing
PIS
monitoring
controlling,
architecture,
data
sharing
communication
technologies,
role
artificial
intelligence
water-saving,
future
prospects
PIS.
Based
brief
review,
concluded
that
PISs
seems
bright,
driven
need
systems,
technological
advancements,
awareness.
As
scarcity
problem
intensifies
due
population
growth,
poised
play
critical
optimizing
modernizing
usage,
reducing
footprints,
thus
ensuring
agriculture
development.
Global
food
security
is
seriously
threatened
by
climate
change,
which
calls
for
creative
agricultural
solutions.
However,
little
known
about
how
different
smart
technologies
are
integrated
to
enhance
security.
As
a
strategic
reaction
these
difficulties,
this
review
investigates
the
incorporation
of
remote
sensing
(RS)
as
well
artificial
intelligence
(AI)
into
climate-smart
agriculture
(CSA).
This
demonstrates
advances
can
improve
resilience,
productivity,
and
sustainability
utilizing
AI's
capacity
predictive
analytics,
crop
modelling,
precision
agriculture,
along
with
RS's
strengths
in
projections,
land
management,
continuous
surveillance.
Several
important
tactics
were
covered,
such
combining
AI
RS
regulate
risks,
maximize
resource
utilization,
practice
choices.
The
also
discusses
issues
like
policy
frameworks,
building,
accessibility
that
prevent
from
being
widely
adopted.
highlights
further
CSA
offers
insights
they
help
ensure
systems
remain
secure
changing
climates.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
9
Published: Feb. 25, 2025
Sustainable
and
digital
agriculture,
grounded
in
robust
scientific
research,
is
crucial
to
addressing
the
challenges
related
water-food-energy
Nexus
(WFE).
Ensuring
global
food
security,
particularly
for
small-scale
farms,
presents
a
major
challenge
community
coming
decades.
Despite
occupying
only
12%
of
agricultural
land,
farms
are
responsible
around
35%
world’s
production.
In
this
context,
smart
farming
solutions,
including
low-cost,
energy-efficient
technologies,
offer
promising
way
forward.
Low-power
wide-area
networks
(LPWAN),
such
as
LoRa,
Sigfox,
NB-IoT,
well-suited
Internet
Things
(IoT)-enabled
agriculture
due
their
affordable
deployment,
energy
efficiency,
optimal
transmission
range
applications.
contrast,
existing
systems—often
based
on
expensive
technologies
artificial
intelligence
(AI)
or
satellite
imagery—are
not
suitable
smallholder
farmers
several
reasons
(high
costs,
technical
complexity,
insufficient
resolution
plots).
Therefore,
paper
introduces
new
IoT-based
platform
utilizing
LoRaWAN
technology,
designed
provide
an
effective
solution
within
Moroccan
suffering
from
severe
water
scarcity
last
The
platform,
called
AgriLink,
uses
sensors
collect
data
transmit
it
gateway
via
LoRaWAN.
then
processed
transferred
server
using
Python,
SQLite,
InfluxDB.
Once
confirms
receipt
data,
promptly
deleted
gateway.
This
approach
allows
monitor
manage
irrigation
fertilization
systems
real-time,
enhancing
both
efficiency
ease
use,
while
overcoming
limitations
systems.
objective
primarily
save
more
fertilizers
fruit
tree
crop
orchards,
which
consequently
serve
promote
sustainable
agriculture.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 25 - 58
Published: Feb. 21, 2025
In
today's
interconnected
world,
companies
increasingly
resort
to
open
innovation
techniques
remain
competitive,
stimulate
creativity,
and
access
various
resources.
This
chapter
discusses
the
widening
reach
of
through
cross-border
cross-industry
collaboration.
It
looks
into
underlying
principles
innovation,
analyzing
how
partnerships
across
geographical
industrial
barriers
can
drive
growth
competitiveness.
The
covers
important
motivations
that
inspire
engage
in
such
cooperation,
including
globalization,
technology
improvements,
new
markets.
also
challenges
inhibit
these
endeavors,
as
cultural
differences,
intellectual
property,
logistical
complexities.
Drawing
from
real-world
case
studies,
this
examines
successful
examples
partnerships,
showing
their
impact
on
organizational
performance.
Strategies
for
developing
effective
collaboration
are
proposed,
emphasizing
need
trust,
adaptability,
robust
communication
