ArticleFoods (Basel, Switzerland)2023
FEDformer-Based Paddy Quality Assessment Model Affected by Toxin Change in Different Storage Environments.
Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- A Thermal State Field Forecasting Framework for Intelligent Ventilation Decision-Making in Granary Based on a Hierarchical TCN-Mamba Network.Sensors (Basel, Switzerland) · 2026Article
- Deciphering the Microbiological Mechanisms Underlying the Impact of Different Storage Conditions on Rice Grain Quality.Foods (Basel, Switzerland) · 2024Article
- Untargeted Lipidomics Reveal Quality Changes in High-Moisture Japonica Brown Rice at Different Storage Temperatures.Foods (Basel, Switzerland) · 2023Article
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Authors and funding
6 authors.
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Abstract
The storage environment can significantly impact paddy quality, which is vital to human health. Changes in storage can cause growth of fungi that affects grain quality. This study analyzed grain storage monitoring data from over 20 regions and found that five factors are essential in predicting quality changes during storage. The study combined these factors with the FEDformer (Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting) model and k-medoids algorithm to construct a paddy quality change prediction model and a grading evaluation model, which showed the highest accuracy and lowest error in predicting quality changes during paddy storage. The results emphasize the need for monitoring and controlling the storage environment to preserve grain quality and ensure food safety.
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Registered trials
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