Sustainable decentralized food waste composting using a pulse alternating ventilation pilot-scale device: Case study based on LCA and LCC analysis
Bioresource Technology,
Год журнала:
2025,
Номер
419, С. 132078 - 132078
Опубликована: Янв. 14, 2025
Язык: Английский
A Hybrid Distribution Network Model for Cost, Quality and Distribution Optimization in Perishable Goods Supply Chains
Malaysian Journal of Science and Advanced Technology,
Год журнала:
2025,
Номер
unknown, С. 1 - 11
Опубликована: Янв. 12, 2025
The
entrenched
role
of
syndicates
and
intermediaries
in
the
perishable
goods
sector
inflates
prices
through
artificial
scarcity
hoarding,
creating
significant
affordability
challenges.
Addressing
these
issues
is
critical
amid
rising
global
demand
for
fresh
produce,
which
highly
vulnerable
to
quality
degradation
due
Supply
Chain
(SC)
inefficiencies
inadequate
cold
storage
practices.
Consequently,
formulating
an
SC
Distribution
Network
(SCDN)
becomes
imperative
optimize
distribution
planning,
mitigate
deterioration,
ensure
sustainability
SC.
This
research
proposes
advanced
SCDN
architecture
by
developing
a
mixed-integer
linear
programming
(MILP)
model
tailored
multi-echelon
scenarios.
aims
minimize
overall
costs,
reduce
expenses,
preserve
freshness
efficient
hybrid
channel.
proposed
integrates
competing
objectives
addressing
multi-criteria
problem
via
weighted
sum
method
(WSM)
executed
using
GUROBI
optimizer
Python.
Two
case
studies
centred
on
Mango
Jack
fruits
Bangladesh
validate
model's
practicality.
findings
highlight
strategic
importance
optimal
center
placement
dual
supply
strategy,
with
plants
meeting
63%
mango
53%
jackfruit
demand,
reducing
reliance
advocating
direct
shipping
markets
while
bypassing
storage.
study
further
highlights
robustness
offers
managerial
insights,
facilitating
informed
decision-making
complex
landscape
product
chains.
Язык: Английский
What Drives Generation Z to Avoid Food Waste in China? An Empirical Investigation
Foods,
Год журнала:
2025,
Номер
14(2), С. 323 - 323
Опубликована: Янв. 20, 2025
Avoiding
food
waste
has
become
an
important
global
issue.
Given
the
impact
of
and
profound
influence
Generation
Z
on
future
development,
it
is
crucial
to
guide
them
in
cultivating
awareness
behaviors
reduce
waste,
thereby
promoting
sustainable
development.
Considering
young
consumers’
specific
characteristics
consumption
environment,
this
study
extended
Theory
Planned
Behavior
(TPB)
framework
by
adding
two
constructs
moral
self-identity
scarcity
mindset.
An
online
survey
was
conducted,
receiving
417
valid
responses,
data
were
analyzed
using
structural
equation
modeling.
This
shows
that
subjective
norms,
attitudes,
perceived
behavioral
control
positively
Z’s
intentions
avoid
waste.
Meanwhile,
remarkably
influences
attitudes
control,
which
turn
affects
intention
Moreover,
positive
moderating
role
mindset
verified.
refines
exploration
within
realm
group,
findings
are
beneficial
for
relevant
stakeholders
further
develop
personalized
promotion
strategies
Z.
Язык: Английский
Technological solutions and consumer behaviour in mitigating food waste: A global assessment across income levels
Sustainable Production and Consumption,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
Язык: Английский
Phytochemicals in plant food waste: innovative insight and implications
Journal of Agriculture and Food Research,
Год журнала:
2025,
Номер
unknown, С. 101779 - 101779
Опубликована: Фев. 1, 2025
Язык: Английский
Quantum AI: A Cognitive Machine Learning Technique based on Nurturing Food Security Sustainability Predictive Analysis for Life Science - Bioengineering in Healthcare
Senthil G. A,
K. M. Monica,
R. Prabha
и другие.
BIO Web of Conferences,
Год журнала:
2025,
Номер
172, С. 02002 - 02002
Опубликована: Янв. 1, 2025
Individualized
and
accurate
evaluation
of
nutrient
intake
is
essential
for
good
health.
Disease
prevention
increased
food
security
This
article
combines
image
analysis
with
quantum
algorithms
precise
insights,
introducing
an
advanced
quantum-enhanced
AI
system.
It
designed
to
predict
the
nutritional
content
foods
consumed.
The
system
starts
taking
photos
using
a
Convolutional
Neural
Network
(CNN)
processed
by
it
has
classification
accuracy
91.87%.
User-specific
information
such
as
age,
weight,
height,
BMI
are
also
used
calculate
individual
needs.
enables
tailored
dietary
recommendations.
Quantum
Support
Vector
Machines
(QSVM),
(QNN),
Reinforcement
Learning
(QRL).
system's
Leveraging
(QRL)
high
prediction
accuracies
90%,
92%,
93%,
ensuring
efficient
in
different
foods.
Integrating
computer
models
will
greatly
improve
predictive
performance
scalability.
led
advances
bioengineering
applications
related
personalized
nutrition.
proposed
approach
potential
be
widely
applied
health
care.
By
helping
personal
nutrition
planning
supporting
decision-making
at
granular
level.
Язык: Английский
Recent advance on the production of microbial exopolysaccharide from waste materials
Bioprocess and Biosystems Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 24, 2025
Язык: Английский
Harnessing Artificial Intelligence (AI) to Mitigate Food Waste: Innovative Strategies for Sustainable Consumption
Malaysian Journal of Social Sciences and Humanities (MJSSH),
Год журнала:
2024,
Номер
9(12), С. e003147 - e003147
Опубликована: Дек. 28, 2024
The
capacity
of
artificial
intelligence
(AI)
to
transform
food
waste
management
is
rooted
in
its
capability
analyse
extensive
data
sets
and
enhance
processes
throughout
the
supply
chain.
Despite
potential
AI
management,
many
organisations
consumers
remain
uninformed
about
capabilities
innovative
strategies
it
can
provide
effectively
reduce
waste.
This
study
aimed
review
for
sustainable
consumption
by
harnessing
mitigate
employed
a
analysis
as
methodological
approach
synthesise
existing
literature
on
intersection
management.
revealed
several
waste,
including:
(a)
smart
inventory
management;
(b)
recipe
suggestions
based
available
ingredients;
(c)
automated
tracking;
(d)
predictive
analytics
meal
preparation;
(e)
consumer
behaviour
insights.
In
conclusion,
utilising
offers
viable
strategy
promoting
practices
Future
research
should
prioritise
longitudinal
analyses
assess
long-term
effectiveness
interventions
across
sectors
including
agriculture,
retail,
hospitality.
Язык: Английский
Factors Associated with Food Waste Among University Students in Colombia
Sustainability,
Год журнала:
2024,
Номер
16(22), С. 9873 - 9873
Опубликована: Ноя. 12, 2024
(1)
Background:
Globally,
millions
of
tons
food
are
wasted
annually,
with
a
significant
portion
occurring
at
the
household
level.
This
study
aimed
to
quantify
waste
generated
by
university
students
and
identify
key
factors
associated
this
behavior.
(2)
Methods:
A
cross-sectional
was
conducted
in
community
trial
involving
227
Colombian
students.
Participants
self-reported
their
daily
(grams
per
person
day),
as
categorized
type,
which
collected
through
an
online-based
questionnaire
under
prior
training.
The
data
were
analyzed
using
binomial
regression
model
calculate
adjusted
prevalence
ratios
(PRaj)
associations
between
demographic
variables.
(3)
Results:
Of
participants,
63%
women,
mean
age
20.4
±
3.8
years.
Overall,
65%
(n
=
148)
reported
wastage.
average
day
22.6
15.5
g,
increasing
94.0
5.0
g
among
those
who
Significant
found
several
factors:
Among
higher
women
(PRaj
1.49;
95%
CI:
1.19,
1.89);
from
rural
areas
1.39;
1.15,
1.67);
income
levels,
1.38
(95%
1.14,
1.68)
for
earning
1–2
Minimum
Legal
Monthly
Wages
(LMMW)
1.49
1.93)
3+
LMMW.
Household
size
socioeconomic
status
not
significantly
(p
>
0.05).
(4)
Conclusions:
On
average,
population
generates
8.25
kg
year,
rising
34.31
report
wasting
food.
Gender,
geographic
location,
predictors
waste.
Язык: Английский
Investigating the Potential Effects of Food Waste Reduction Interventions Within the Leafy Vegetable Supply Chain in Kermanshah Province, Iran
Agriculture,
Год журнала:
2024,
Номер
14(12), С. 2344 - 2344
Опубликована: Дек. 20, 2024
Despite
the
increasing
concerns
regarding
meeting
world’s
future
food
demand,
there
is
still
a
substantial
quantity
of
loss
and
waste
(FLW),
particularly
concerning
fruits
vegetables.
In
case
Kermanshah
province,
inefficiencies
within
leafy
vegetable
supply
chpain
(LVSC)
contribute
to
an
alarming
annual
39%
Although
several
studies
have
proposed
strategies
recommendations
for
mitigating
this
waste,
actual
impact
these
interventions
on
reducing
FLW
has
not
been
thoroughly
examined
or
quantified.
Using
System
Dynamic
Modeling,
study
offers
novel
approach
quantify
reduction.
The
quantification
results
reveal
four
key
at
production
stage:
biotic
(31.2%)
abiotic
stress
control
(14.4%),
improved
educational
services
(23.2%),
access
quality
inputs
(15.2%).
Furthermore,
suggest
that
early-stage
factors
in
LVSC
play
crucial
role
determining
accumulation
later
stages.
Improvements
packaging
facilities
cold
chain
infrastructure,
along
with
better
coordination
information
sharing
among
stakeholders
market
stage,
significantly
help
reduce
waste.
Additionally,
effective
planning
household
shopping
emphasized
as
strategy
minimizing
consumption
stage.
This
holistic
focuses
interconnectedness
actions
across
various
stages
their
combined
effect
decreasing
overall
Язык: Английский