Spatial variability of soil salinity in coastal saline-alkali farmlands: A novel approach integrating a stacked model with the reconstructed in-situ hyperspectral feature
Computers and Electronics in Agriculture,
Год журнала:
2025,
Номер
235, С. 110376 - 110376
Опубликована: Апрель 19, 2025
Язык: Английский
Soil microbiome: An intrinsic driver for climate smart agriculture
Journal of Agriculture and Food Research,
Год журнала:
2024,
Номер
unknown, С. 101433 - 101433
Опубликована: Сен. 1, 2024
Digital Economy Empowering Sustainable Rural Development: Exploring New Paths for the Coupling Coordinated Development of the Economy-Environment
Опубликована: Янв. 1, 2025
Язык: Английский
Tech-Driven Sustainability
Advances in computer and electrical engineering book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 32
Опубликована: Янв. 17, 2025
This
comprehensive
review
explores
the
transformative
impact
of
digital
technologies
on
sustainability
and
quality
control
across
diverse
industries.
The
study
aims
to
elucidate
how
such
as
Internet
Things
(IoT),
artificial
intelligence
(AI),
blockchain,
data
analytics,
twins
are
leveraged
optimize
processes
enhance
operational
efficiencies
while
ensuring
adherence
stringent
standards.
Methodology:
A
systematic
analysis
current
literature
empirical
studies
was
conducted
synthesize
key
findings
insights.
covers
a
wide
range
sectors
including
manufacturing,
healthcare,
transportation,
energy,
retail,
finance,
agriculture,
construction,
education,
telecommunications,
Results:
reveals
that
play
pivotal
role
in
revolutionizing
industry
practices
by
improving
supply
chain
transparency,
optimizing
logistics,
enhancing
patient
care,
enabling
smart
energy
management,
fostering
sustainable
agricultural
practices.
Язык: Английский
Digital Transformation in Agricultural Supply Chains Enhances Green Productivity: Evidence From Provincial Data in China
Haiyan Yu,
Wuniu Qubi,
Juan Luo
и другие.
Earth s Future,
Год журнала:
2025,
Номер
13(5)
Опубликована: Май 1, 2025
Abstract
As
global
agricultural
systems
strive
to
achieve
a
balance
between
productivity
and
sustainability,
digital
technologies
are
increasingly
recognized
for
their
transformational
potential
in
optimizing
supply
chain
processes.
However,
the
empirical
understanding
of
how
digitalization
affects
green
productivity,
especially
developing
economies,
remains
limited.
This
study
explores
influence
transformation
on
China's
agriculture
based
provincial
data
from
2011
2023.
The
findings
reveal
that
significantly
enhances
with
consumption
stage
exerting
greatest
effect.
Moreover,
solutions
reduce
crop
disaster
rates,
thereby
improving
resilience
further
driving
productivity.
These
results
emphasize
critical
role
fostering
sustainable
practices.
Язык: Английский
Environmental sustainability and technology as interconnected drivers of business model innovation in the agri-food industry: insights from multiple case studies
Baltic Journal of Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 5, 2025
Purpose
Business
model
innovation
(BMI)
plays
a
key
role
in
accelerating
the
transition
toward
greater
environmental
sustainability
agri-food
industry.
However,
knowledge
of
mechanisms
that
activate
BMI
firms
remains
scarce.
This
study
aims
to
clarify
interdependencies
between
and
new
technologies
as
drivers
BMI.
It
explores
relationships
these
locus
(i.e.
internal
and/or
external
firm)
stimulus
activating
Design/methodology/approach
An
in-depth
analysis
13
cases
small-
medium-sized
have
successfully
introduced
is
performed,
drawing
on
information
collected
through
interviews
with
firms’
decision-makers.
Findings
The
unveils
behind
activation
firms.
A
framework
combining
proposed,
highlighting
paths
Originality/value
proposes
an
original
outlines
three
main
businesses:
purpose-driven
BMI,
technology-exploration-driven
compliance-driven
Язык: Английский
Visualización y Análisis Interactivos de Tendencias en Sostenibilidad Alimentaria mediante Minería de Texto
Estudios y Perspectivas Revista Científica y Académica,
Год журнала:
2024,
Номер
4(4), С. 258 - 279
Опубликована: Дек. 6, 2024
Este
trabajo
presenta
un
análisis
de
literatura
científica
mediante
minería
texto,
modelado
estadístico
y
herramientas
interactivas
bajo
RStudio
para
determinar
la
sustentabilidad
alimentaria
dentro
corpus
científico.
Esto
permitirá
definir
temas
establecidos
emergentes,
evaluar
metodologías
tendencias
en
el
tiempo.
Los
datos
bibliográficos
fueron
extraídos
depurados
estructurar
una
matriz
documento-término,
que
forma
insumo
modelo
Asignación
Latente
Dirichlet,
sacando
a
luz
cinco
grandes
dimensiones
relacionadas
con
gestión
recursos,
los
impactos
ambientales
producción.
términos
más
observados
son
“agua”
“producción”
como
sinónimos
alcance
escala
conceptos
“ciclo
vida”
“tecnologías
limpias”.
Se
desarrolló
aplicación
interactiva
Shiny
visualización
dinámica
nubes
palabras
temas,
así
navegación
entre
artículos
científicos
función
rangos
tiempo
seleccionadas.
Permitió
mapear
dinámicas
complejas
desde
lo
anterior.
La
investigación
sostiene
incorporación
analíticas
avanzadas
promueve
detallado
visión
futuro
establecer
bases
sólidas
políticas
orientadas
sostenibilidad.
The Role of AI in Sustainable Business Practices and Reporting in Emerging Economies
Advances in business information systems and analytics book series,
Год журнала:
2024,
Номер
unknown, С. 310 - 340
Опубликована: Авг. 19, 2024
This
study
investigates
artificial
intelligence
and
how
it
can
be
leveraged
upon
in
order
to
re-engineer
existing
business
models,
towards
achieving
sustainable
development
goals.
The
analysed
factors
necessary
ensure
an
assisted
model
innovation
provide
a
framework
for
businesses
emerging
economies.
A
systematic
literature
review
of
is
undertaken
using
the
Scopus
database.
Filtering
processes
are
employed
arrive
at
94
journal
articles.
adopts
PRISMA
protocol
allow
comprehensive
disclosure
process.
process
resulted
thematic
areas
which
provided
that
guided
study.
Case
studies
were
also
undertaken,
qualitative
manner
capture
perceptions
experiences
as
well
problems
associated
with
leveraging
innovation.
research
output
includes
recommendation
policy
implication.
Язык: Английский