Climate and environmental data contribute to the prediction of grain commodity prices using deep learning
Abstract Background Grain commodities are important to people's daily lives and their fluctuations can cause instability for households. Accurate prediction of grain prices can improve food and social security. Methods & Materials This study proposes a hybrid Long Short‐Term Memory (LSTM)‐C...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
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| Series: | Journal of Sustainable Agriculture and Environment |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/sae2.12041 |