AMSformer: A Transformer for Grain Storage Temperature Prediction Using Adaptive Multi-Scale Feature Fusion

AMSformer: A Transformer for Grain Storage Temperature Prediction Using Adaptive Multi-Scale Feature Fusion

Grain storage temperature prediction is crucial for silo safety and can effectively prevent mold and mildew caused by increasing grain temperature and condensation due to decreasing grain temperature. However, current prediction methods lead to information redundancy when capturing temporal and spat...

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Bibliographic Details
Main Authors: Qinghui Zhang, Weixiang Zhang, Quanzhen Huang, Chenxia Wan, Zhihui Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
grain storage temperature prediction
information redundancy
adaptive channel attention mechanism
multi-scale attention mechanism
hierarchical encoder
Online Access:https://www.mdpi.com/2077-0472/15/1/58
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