Tendencias Actuales en la aplicación del Bigdata y Agricultura Inteligente un Enfoque Bibliométrico
Estudios y Perspectivas Revista Científica y Académica,
Journal Year:
2025,
Volume and Issue:
5(1), P. 310 - 332
Published: Jan. 29, 2025
La
necesidad
por
alimentar
a
la
población
mundial
se
ha
convertido
en
un
desafío
nuestra
sociedad.
producción
agrícola
requiere
de
tecnificación
que
le
permita
cumplir
con
esta
población.
En
este
sentido
Big
Data
convierte
una
las
herramientas
relevantes
permiten
gestionar
y
optimizar
los
recursos
naturales
e
insumos
agrícolas
convirtiendo
actividades
el
campo
agricultura
inteligente
innova
mejora
resultados
producción.
El
presente
trabajo
busca
responder
pregunta
¿Cuáles
son
tendencias
actuales
aplicación
bigdata
inteligente?.
A
través
análisis
bibliométrico
buscamos
interrogante
determinar
brecha
investigación.
Los
alcanzados
nos
muestran
7
brechas
investigación:
bigdata,
blockchain,
smart
farming,
security,
artificial
intelligence
internet
of
things,
estos
determinantes
áreas
investigación
crecimiento
requieren
ser
exploradas
sus
permitirán
mejorar
producción,
alto
nivel
control
su
desarrollo
sostenible
sustentable.
Dynamics and prospects for the development of the Russian compound feed industry in the period from 2010 to 2025
N.S. Migda,
No information about this author
N. R. Ashurov,
No information about this author
Islomjon Komilov
No information about this author
et al.
BIO Web of Conferences,
Journal Year:
2025,
Volume and Issue:
161, P. 00070 - 00070
Published: Jan. 1, 2025
The
presented
research
is
devoted
to
analysing
the
development
of
Russian
compound
feed
industry
in
period
from
2010
2025.
purpose
work
assess
dynamics
industry,
identify
key
factors
affecting
its
development,
and
analyse
prospects
for
improving
efficiency
production
quality
mixed
fodder.
Data
Federal
State
Statistics
Service,
Ministry
Agriculture,
associations
analytical
centres,
as
well
scientific
publications
reviews
were
used.
analysis
has
shown
that
gone
through
several
stages
steady
growth
adaptation
economic
crises
subsequent
strong
recovery.
Government
support,
import
substitution,
domestic
soybean
introduction
innovative
technologies
played
an
important
role.
An
increase
export
opportunities
diversification
raw
material
base
noted.
Despite
successes
achieved,
faces
new
challenges
related
need
reduce
dependence
on
imported
technologies,
competitiveness
global
market
ensure
sustainable
development.
study
highlights
further
implementation
solutions
optimise
improve
quality.
Language: Английский
Interpretable spatio-temporal prediction using Deep Neural Network - Local Interpretable Model-agnostic Explanations: A case study on leptospirosis outbreaks in Malaysia
Engineering Applications of Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
151, P. 110665 - 110665
Published: April 4, 2025
Language: Английский
Precision Agriculture and Artificial Intelligence
Advances in geospatial technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 227 - 256
Published: April 30, 2025
Precision
agriculture,
combined
with
advances
in
artificial
intelligence
(AI),
plays
a
decisive
role
the
sustainable
management
of
agricultural
resources
face
climate
challenges.
This
field
aims
to
optimize
farming
practices
by
using
technologies
such
as
sensors,
drones,
and
massive
data
analysis
monitor,
predict
respond
specific
crop
needs.
AI
tools,
machine
learning
neural
networks,
make
it
possible
anticipate
climatic
impacts,
efficiently
manage
irrigation
fertilizer
use,
while
reducing
waste
resources.
marriage
between
technology
agriculture
strengthen
resilience
systems
promote
production
that
meets
challenges
food
security
environmental
impact.
Language: Английский