Optimization of machine learning models for predicting glutinous rice quality stored under various conditions

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Optimization of machine learning models for predicting glutinous rice quality stored under various conditions

The preservation of freshly harvested glutinous rice (GR) is essential for maintaining its nutritional and economic value. This study examines the impact of storage temperature and duration on key quality attributes, including moisture content (MC), germination growth rate (GGR), water absorption ca...

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Bibliographic Details
Main Authors:	Dasore, Abhishek, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Mohd Ali, Maimunah, Ageh, Opeyemi Micheal
Format:	Article
Language:	English
Published:	Elsevier Ltd 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/118909/ http://psasir.upm.edu.my/id/eprint/118909/1/118909.pdf

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