Forecasting Production of Potato for a Sustainable Future: Global Market Analysis
Potato Research,
Год журнала:
2024,
Номер
67(4), С. 1671 - 1690
Опубликована: Март 21, 2024
Язык: Английский
Potato Consumption Forecasting Based on a Hybrid Stacked Deep Learning Model
Potato Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 15, 2024
Abstract
Potato
consumption
forecasting
is
crucial
for
several
stakeholders
in
the
food
market.
Due
to
market
flexibility,
farmers
can
manipulate
volumes
planted
a
given
type
of
produce
reduce
costs
and
improve
revenue.
Consequently,
it
means
that
establishing
optimal
inventories
or
inventory
levels
possible
critical
sense
sellers
avoid
either
inadequate
excessive
may
lead
wastage.
In
addition,
governments
predict
future
deficits
put
measures
place
guarantee
they
have
steady
supply
some
time,
especially
regions
involve
use
potatoes.
Increased
potato-eating
anticipation
has
advantages
buyers
The
experiments
this
study
employed
various
machine
learning
deep
(DL)
models
comprise
stacked
long
short-term
memory
(Stacked
LSTM),
convolutional
neural
network
(CNN),
random
forest
(RF),
support
vector
regressor
(SVR),
K
-nearest
neighbour
(KNN),
bagging
(BR),
dummy
(DR).
During
study,
was
discovered
Stacked
LSTM
model
had
superior
performance
compared
other
models.
achieved
mean
squared
error
(MSE)
0.0081,
absolute
(MAE)
0.0801,
median
(MedAE)
0.0755,
coefficient
determination
(
R
2
)
value
98.90%.
These
results
demonstrate
our
algorithms
reliably
forecast
global
potato
until
year
2030.
Язык: Английский
N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting
Potato Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 12, 2024
Язык: Английский
Global Potato Production Forecasting Based on Time Series Analysis and Advanced Waterwheel Plant Optimization Algorithm
Potato Research,
Год журнала:
2024,
Номер
67(4), С. 1965 - 2000
Опубликована: Май 8, 2024
Язык: Английский
A Random Forest-Convolutional Neural Network Deep Learning Model for Predicting the Wholesale Price Index of Potato in India
Potato Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 24, 2024
Язык: Английский
Sodium tripolyphosphate is a non-toxic and economic alternative to glutaraldehyde for preparation of L-asparaginase CLEAs to reduce acrylamide in potato fries
Food Chemistry,
Год журнала:
2025,
Номер
472, С. 142894 - 142894
Опубликована: Янв. 16, 2025
Язык: Английский
Comparing Forecasting Models for Potato Production: Evaluating T-ARMA, ARIMA-ARCH, Weibull and Score-Driven Approaches in Major Global Producers
Potato Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 9, 2025
Язык: Английский
Modeling and Forecasting of Potato Production in Rajasthan and their Yield Sustainability
Journal of Scientific Research and Reports,
Год журнала:
2024,
Номер
30(12), С. 756 - 770
Опубликована: Дек. 28, 2024
This
study
examined
trends,
sustainability,
and
forecasted
potato
area,
production,
productivity
in
India
Rajasthan
from
1970
to
2030.
Annual
production
data
was
analyzed
using
an
autoregressive
integrated
moving
average
(ARIMA)
model.
The
models
were
trained
2020
assessed
with
a
validation
set
2021
2023.
In
the
training
set,
box
exhibited
optimal
performance.
ARIMA
yielded
minimal
predicted
errors.
leading
project
till
2023,
260.50
thousand
tonnes
61,250.50
tonnes,
respectively.
By
2030,
are
projected
yield
301.31
63,318.26
predictions
can
aid
food
security
planning
agricultural
policy
formulation
region.
exhibit
significant
sustainability
for
period
1998
Язык: Английский