Advanced Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 8, 2024
Addressing
the
critical
need
for
swift
and
precise
nutritional
profiling
in
healthcare
food
industry,
this
study
pioneers
integration
of
vision-language
models
(VLMs)
with
chemical
analysis
techniques.
A
cutting-edge
VLM
is
unveiled,
utilizing
expansive
UMDFood-90k
database,
to
significantly
improve
speed
accuracy
nutrient
estimation
processes.
Demonstrating
a
macro-AUCROC
0.921
lipid
quantification,
model
exhibits
less
than
10%
variance
compared
traditional
analyses
over
82%
analyzed
items.
This
innovative
approach
not
only
accelerates
screening
by
36.9%
when
tested
amongst
students
but
also
sets
new
benchmark
precision
data
compilation.
research
marks
substantial
leap
forward
science,
employing
blend
advanced
computational
validation
offer
rapid,
high-throughput
solution
analysis.
Oxford University Press eBooks,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 22, 2025
Abstract
Smallholder
farmers
are
prone
to
food
insecurity
due
the
devastating
effects
of
viral
crop
diseases,
pest
outbreaks,
and
lack
timely,
targeted
advice.
Leveraging
Large
Language
Models
(LLMs)
in
agriculture
offers
significant
potential
bridge
information
gaps
that
smallholder
face.
This
study
discusses
development
an
expert-reviewed
agricultural
question-answer
dataset.
We
analysed
responses
from
LLMs
experts
on
crop-
animal-related
questions
using
relevancy,
coherence,
fluency
metrics.
Our
results
show
GPT-4
outperforms
other
across
these
LLM-powered
systems
can
act
as
virtual
extension
agents,
assisting
decision-making
overcoming
farming
challenges.
Frontiers in Food Science and Technology,
Год журнала:
2024,
Номер
4
Опубликована: Сен. 25, 2024
ChatGPT
uses
a
so
called
Large
Language
Model
(LLM)
to
provide
textual
output
of
analyzed
data.
Those
LLMs
are
one
example
for
Generative
Artificial
Intelligence
(AI),
which
focuses
on
creating
new
content,
e.g.,
text,
images,
or
music,
based
learned
patterns.
Recently,
applications
in
the
food
industry
and
agriculture
started
apply
AI.
This
mini
review
provides
an
overview
about
AI
agri-food
supply
chain
discusses
open
research
challenges,
also
combination
with
digital
twins.
Advanced Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 8, 2024
Addressing
the
critical
need
for
swift
and
precise
nutritional
profiling
in
healthcare
food
industry,
this
study
pioneers
integration
of
vision-language
models
(VLMs)
with
chemical
analysis
techniques.
A
cutting-edge
VLM
is
unveiled,
utilizing
expansive
UMDFood-90k
database,
to
significantly
improve
speed
accuracy
nutrient
estimation
processes.
Demonstrating
a
macro-AUCROC
0.921
lipid
quantification,
model
exhibits
less
than
10%
variance
compared
traditional
analyses
over
82%
analyzed
items.
This
innovative
approach
not
only
accelerates
screening
by
36.9%
when
tested
amongst
students
but
also
sets
new
benchmark
precision
data
compilation.
research
marks
substantial
leap
forward
science,
employing
blend
advanced
computational
validation
offer
rapid,
high-throughput
solution
analysis.
