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Science

International articles, research works and expert insights from the four countries. Titles and abstracts are available in all five languages; the full text keeps its language of publication.

1 document

Research work
Viet Nam2025

Machine learning for rice yield forecasting using climate and soil data in the Mekong Delta

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This study develops a machine learning model to forecast rice yield based on climate, soil and cropping history data from several provinces in the Mekong Delta. The model achieves higher forecast accuracy than traditional statistical methods. Findings suggest potential for wider application in other rice-growing areas across CLMV.

Smart agricultureDOI 10.48550/clmv.2026.002Machine translation