Recent Advancements of Light-Emitting Diodes in Dairy Industries
Trends in Food Science & Technology,
Год журнала:
2025,
Номер
unknown, С. 105018 - 105018
Опубликована: Апрель 1, 2025
Язык: Английский
SMART DAIRY FARMING: ENHANCED EFFICIENCY, PRODUCTIVITY AND ANIMAL WELFARE THROUGH THE INTERNET OF THINGS AND CLOUD INTEGRATION
The Journal of Animal and Plant Sciences,
Год журнала:
2025,
Номер
1, С. 18 - 35
Опубликована: Янв. 8, 2025
Dairy
industry
faces
numerous
challenges
today
and,
in
the
future,
including
labor
shortage,
stemming
from
economic
pressure
due
to
high
cost
and
insufficient
returns,
evolving
marketing
dynamics.
In
order
cope
with
these
challenges,
integration
of
advance
technologies
such
as
automation
data
analytics
is
indispensable.
The
Internet
Things
(IoT)
has
enabled
development
“smart”
devices
installed
sensors
smart
collars,
wearables,
thermometer,
hygrometer,
air
quality
detectors
for
efficient
sustainable
dairy
farming.
Moreover,
vast
volume
generated
by
IoT
necessitates
cloud
computing
effective
handling.
However,
this
presents
challenges;
particular,
overload
superfluous
communication
noise.
To
address
this,
pre-processing
trimming
services
gateways,
networks,
fog
have
been
employed.
livestock
farming,
CoT
revolutionized
real-time
monitoring,
advanced
care,
in-time
ovum
pick-up,
vitro
fertilization,
embryo
transfer,
artificial
insemination,
milk
production,
gene
selection.
Through
sensors,
regarding
an
animal’s
health
(e.g.,
body
temperature,
level
reproductive
hormones,
vaginal
pH),
behavior,
environment
facilitated
animal
welfare
practices.
CoT’s
cloud-based
infrastructure
enables
comprehensive
analysis,
leading
improved
veterinary
early
disease
detection,
insightful
research
into
diverse
species’
Ultimately,
signify
a
paradigm
shift
transcending
mere
offer
holistic,
data-driven
approach
that
harmonizes
productivity
welfare.
By
leveraging
innovations,
sector
poised
achieve
growth
saving
178%
on
feed
pushing,
44.05%
milking,
121.97%
cleansing,
126.2%
herd
109.3%
analyzing
forecasting.
This
study
falls
under
umbrella
UNO’s
goals
development.
Keywords:
Things,
computing,
intelligent
breeding,
management,
farm
management
Язык: Английский
Smart technologies to improve the management and resilience to climate change of livestock housing: a systematic and critical review
Italian Journal of Animal Science,
Год журнала:
2025,
Номер
24(1), С. 376 - 392
Опубликована: Янв. 24, 2025
Язык: Английский
Smart Practices in Modern Dairy Farming in Bangladesh: Integrating Technological Transformations for Sustainable Responsibility
Administrative Sciences,
Год журнала:
2025,
Номер
15(2), С. 38 - 38
Опубликована: Янв. 27, 2025
The
current
Bangladeshi
dairy
sector
faces
many
problems
related
to
sustainability
indicators
from
economic,
social,
and
environmental
perspectives.
In
this
circumstance,
they
must
combine
cutting-edge
innovation
overcome
growing
concerns
technical
revolutions
become
smart
farms.
This
study
analyzes
how
farmers
might
use
technologies
in
their
sub-processes
determine
the
benefits
of
achieving
additional
productivity
efficiency.
paper
examines
precision
livestock
farming,
information
analytics,
alternative
energy
sources
reduce
hazards
increase
resource
Using
like
artificial
intelligence
(AI),
machine
learning
(ML),
robotics
(RPA),
Internet
Things
(IoT),
data
system
dynamics,
simulation
modeling
can
assist
improving
results.
Analyzing
developing
country
case
studies
best
practices
reveals
crucial
answers
for
reconciling
stewardship
operational
dynamics
method
builds
a
model
finds
projected
results
before
implementing
it
real
life.
findings
provide
considerable
waste
reduction
gains
through
technological
deployments.
creates
two
scenarios
‘current’
‘technology-adopted’
processes
examine
transformational
sustainable
practices.
A
was
adopted
technology
deployment
organize
comprehensive
strategy
that
blends
sustainability.
ends
with
recommendations
policymakers
create
resilient
environmentally
friendly
operation
secure
sector’s
long-term
viability
transforming
technologies.
Future
farms
follow
practical,
technical,
policy,
as
well
improve
processes,
such
farm
concepts
available
academia
dairy-developed
countries.
Язык: Английский
Intellimice Classifier: Towards Smart Object Detection and Classification of Laboratory Mice Using Multi-Sensor Integration
Journal of Electrical and Electronic Engineering,
Год журнала:
2025,
Номер
13(1), С. 59 - 81
Опубликована: Фев. 27, 2025
Laboratory
mice
(Mus
musculus)
play
a
crucial
role
in
scientific
research,
where
accurate
classification
and
sorting
are
essential
for
ensuring
reliable
experimental
results.
This
study
presents
an
intelligent
multi-sensor
system
the
automated
of
laboratory
based
on
three
key
parameters:
health
status,
gender,
weight.
The
integrates
thermal
imaging
cameras
AMG8833
monitoring
status
mice,
object
detection
algorithms
(YOLOv8)
gender
classification,
load
cell
HX711
sensors
weight
measurement.
integration
these
leverages
advanced
sensor
fusion
techniques
to
improve
accuracy
efficiency.
Thermal
detects
physiological
anomalies
assess
condition
while
identify
characteristics
real-time
with
high
precision.
Additionally,
provide
data
further
categorization.
combined
eliminates
need
manual
intervention,
non-invasive,
efficient,
scalable
approach
animal
management.
proposed
performed
evaluation
through
multiple
test
scenarios
aimed
at
assessing
classifying
their
was
evaluated
using
dataset
comprising
over
6,722
images
stored
STASRG
laboratory.
results
indicated
that
across
parameters
achieved
100%
success
rate.
86.67%,
measurement
exhibited
difference
approximately
0.1
gram.
overall
response
time
19
seconds.
demonstrates
potential
enhance
workflows,
minimize
human
error,
promote
welfare
animals
via
automated,
data-driven
processes.
Язык: Английский