FEDformer-Based Paddy Quality Assessment Model Affected by Toxin Change in Different Storage Environments

Bibliographic Details
Title: FEDformer-Based Paddy Quality Assessment Model Affected by Toxin Change in Different Storage Environments
Authors: Zihan Li, Qingchuan Zhang, Wei Dong, Yingjie Liu, Siwei Wei, Min Zuo
Source: Foods, Vol 12, Iss 8, p 1681 (2023)
Publisher Information: MDPI AG, 2023.
Publication Year: 2023
Collection: LCC:Chemical technology
Subject Terms: paddy quality change prediction, paddy, paddy storage, prediction, FEDformer, Chemical technology, TP1-1185
More Details: 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2304-8158
Relation: https://www.mdpi.com/2304-8158/12/8/1681; https://doaj.org/toc/2304-8158
DOI: 10.3390/foods12081681
Access URL: https://doaj.org/article/28a4f17104e64baf9e4e69e0fedea639
Accession Number: edsdoj.28a4f17104e64baf9e4e69e0fedea639
Database: Directory of Open Access Journals
More Details
ISSN:23048158
DOI:10.3390/foods12081681
Published in:Foods
Language:English