Temperature Forecasting of Grain in Storage: An Improved Approach Based on Broad Learning Network

Temperature Forecasting of Grain in Storage: An Improved Approach Based on Broad Learning Network

Temperature forecasting of grain in storage is crucial for timely granary temperature control, mitigating adverse effects of extreme temperatures on grain quality. Traditional machine learning methods struggle with stability and high error rates in grain storage temperature forecasting, while deep l...

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Bibliographic Details
Main Authors: Qifu Wang, Minglei Hou, Yao Qin, Feiyu Lian
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Grain storage temperature forecasting
grain storage security
broad learning network
multi-head self-attention
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/10568119/

Internet

https://ieeexplore.ieee.org/document/10568119/

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