Data-driven rice yield predictions and prescriptive analytics for sustainable agriculture in Malaysia

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Data-driven rice yield predictions and prescriptive analytics for sustainable agriculture in Malaysia

Maximizing rice yield is critical for ensuring food security and sustainable agriculture in Malaysia. This research investigates the impact of environmental conditions and management methods on crop yields, focusing on accurate predictions to inform decision-making by farmers. Utilizing machine lear...

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Bibliographic Details
Main Authors:	Marong, Muhammad, Husin, Nor Azura, Zolkepli, Maslina, Affendey, Lilly Suriani
Format:	Article
Language:	English
Published:	Science and Information Organization 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/112884/ http://psasir.upm.edu.my/id/eprint/112884/1/112884.pdf

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