IEEE Sensors,
Год журнала:
2023,
Номер
unknown, С. 1 - 4
Опубликована: Окт. 29, 2023
Honeybees
flying
in
front
of
a
beehive
were
observed
by
the
unconventional
use
an
analog
output
pyroelectric
infrared
(PIR)
sensor.
A
microprocessor
calculated
temperature-corrected
variance
sensor's
voltage
to
quantify
bee
activity
level.
Sensor
data
transmitted
via
WiFi
link
Internet-of-Things
(IoT)
platform
for
remote
real-time
monitoring
and
analysis.
The
technique
was
sufficiently
sensitive
detect
individual
bees,
swarming,
robbing,
other
intrusive
apiary
events.
sensor
performance
equivalent
considerably
more
expensive
radar,
vibration,
or
video
systems.
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2023,
Номер
9(3), С. 100110 - 100110
Опубликована: Авг. 4, 2023
Precision
Beekeeping,
a
field
of
Agriculture,
is
an
apiary
management
strategy
based
on
monitoring
honeybee
colonies
to
promote
more
sustainable
resource
usage
and
maximise
productivity.
The
approach
related
Beekeeping
methodologies
mitigate
the
stress
associated
with
human
intervention
in
waste
resources.
These
goals
are
achieved
by
supporting
managing
beekeeper's
timely
appropriate
action
at
colony's
level.
In
recent
years,
growth
IoT
(Internet-of-Things)
Agriculture
has
spurred
several
proposals
contribute
paradigm
built
different
technical
concepts
production
costs.
This
work
proposes
describes
information
systems
architecture
concept
named
BHiveSense,
microservices,
artefacts
demonstrate
its
concept:
(1)
low-cost
COTS
(Commercial
Off-The-Shelf)
hive
sensing
prototype,
(2)
REST
backend
API,
(3)
Web
application,
(4)
Mobile
application.
project
delivers
solution
for
integrated
beekeeping
activity.
Our
stresses
that
adopting
microservices
architecture,
it
possible
deal
long-standing
problems
concerning
interoperability,
scalability,
agility,
maintenance
issues,
delivering
efficient
beehive
system.
Revista de Ingeniería Matemáticas y Ciencias de la Información,
Год журнала:
2025,
Номер
12(23)
Опубликована: Март 3, 2025
Este
artículo
presenta
el
diseño
e
implementación
de
un
sistema
prototipo
IoT
para
la
variable
temperatura
en
proceso
aclimatación
semillas
palma.
Inicialmente
se
realiza
actualización
del
hardware
con
instalación
IoT2040,
así
como
software
a
versión
16
TIA
PORTAL®,
posteriormente
efectúa
codificación
Node-Red
las
variables
los
valores
máximos,
mínimos
y
promedios
cada
cuarto,
esto
hace
objetivo
visualizar
mediante
UBIDOTS
proceso.
De
igual
forma
envió
reporte
diario
Gmail
una
notificación
por
alarma
Telegram,
su
vez
menú
opciones
comportamiento
control
alarmas
medio
Telegram
obteniendo
completa
optimización
proceso,
cual
permite
supervisar,
registrar,
controlar
sistema,
demostrando
importancia
que
tiene
aplicaciones
sector
agrícola.
Computers and Electronics in Agriculture,
Год журнала:
2024,
Номер
220, С. 108874 - 108874
Опубликована: Апрель 9, 2024
Data-driven
advances
have
resulted
in
significant
improvements
dairy
production.
However,
the
meat
industry
has
lagged
behind
adopting
data-driven
approaches,
underscoring
crucial
need
for
data
standardisation
to
facilitate
seamless
transmission
maximise
productivity,
save
costs,
and
increase
market
access.
To
address
this
gap,
we
propose
a
novel
schema,
Livestock
Event
Information
(LEI)
designed
accurately
uniformly
record
livestock
events.
LEI
complies
with
International
Committee
Animal
Recording
(ICAR)
Integrity
System
Company
(ISC)
schemas
deliver
enable
sharing
between
producers
consumers.
validate
superiority
of
LEI,
conducted
structural
metrics
analysis
comprehensive
case
study.
The
demonstrated
that
outperforms
ICAR
ISC
terms
design,
while
study
confirmed
its
superior
ability
capture
event
information.
Our
findings
lay
foundation
implementation
unlocking
potential
management.
Moreover,
LEI's
versatility
opens
avenues
future
expansion
into
other
agricultural
domains,
encompassing
poultry,
fisheries,
crops.
adoption
promises
substantial
benefits,
including
improved
accuracy,
reduced
increased
heralding
new
era
sustainability
industry.
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
Год журнала:
2023,
Номер
unknown, С. 769 - 776
Опубликована: Май 1, 2023
Precision
Beekeeping
systems
collect
data
on
colonies
of
bees
using
sensors
to
assist
beekeepers
and
preserve
bees.
The
collection,
transfer,
processing
such
are
energy-intensive
processes.
However,
most
work
under
a
limited
energy
budget.This
article
focuses
the
placement
AI-based
energy-aware
services
at
edge
in
cloud.
We
deploy
set
smart
beehives
as
devices
order
conduct
experiments
real
data.
Then,
we
simulate
large-scale
with
embedded
services.
Our
results
show
that
parameters
like
number
beehives,
frequency
different
losses
impact
these
enhance
efficiency.
Sensors,
Год журнала:
2024,
Номер
24(16), С. 5444 - 5444
Опубликована: Авг. 22, 2024
This
paper
presents
a
new
edge
detection
process
implemented
in
an
embedded
IoT
device
called
Bee
Smart
Detection
node
to
detect
catastrophic
apiary
events.
Such
events
include
swarming,
queen
loss,
and
the
of
Colony
Collapse
Disorder
(CCD)
conditions.
Two
deep
learning
sub-processes
are
used
for
this
purpose.
The
first
uses
fuzzy
multi-layered
neural
network
variable
depths
fuzzy-stranded-NN
CCD
conditions
based
on
temperature
humidity
measurements
inside
beehive.
second
utilizes
CNN
model
swarming
loss
cases
sound
recordings.
proposed
processes
have
been
into
autonomous
devices
that
transmit
their
results
cloud
over
Wi-Fi.
BeeSD
tested
easy-to-use
functionality,
operation,
inference
accuracy,
execution
speeds.
author
experimental
detecting
critical
models
loss.
From
presented
results,
stranded-NN
achieved
accuracy
up
95%,
while
ResNet-50
99%
or
ResNet-18
is
also
fastest
speed
replacement
model,
achieving
93%
results.
Finally,
cross-comparison
with
machine
ones
shows
can
provide
at
least
3–5%
better
