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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| 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
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11025844/ |
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