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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/118909/ http://psasir.upm.edu.my/id/eprint/118909/1/118909.pdf |