The Use of Long Short-Term Memory Models to Estimate Soybean Pricing: A Regional Climate Data Evaluation From Brazil

The Use of Long Short-Term Memory Models to Estimate Soybean Pricing: A Regional Climate Data Evaluation From Brazil

This work uses machine learning methods to analyze the influence of the Brazilian climate on international soybean price variability. For this purpose, climatic data, historical series of the extended national consumer price index, dollar price historical series, soybean harvest historical series, a...

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Bibliographic Details
Main Authors: Jefferson Tales Oliva, Otavio Pigozzo Martelli, Marco Antonio de Castro Barbosa, Viviane Dal Molin, Dalcimar Casanova, Marcelo Teixeira
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Brazilian climatic data
long-short term memory
machine learning
soybean
time series
Online Access:https://ieeexplore.ieee.org/document/11025844/
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