A smart food security monitoring and predicting algorithm for rice productivity in Southeast Asia

The rising food insecurity in Southeast Asia demands innovative and data-driven solutions. This study aims to develop a statistical forecasting approach by utilizing a single-stacked predictive framework to model rice productivity, even when data availability is limited, an essential advantage in th...

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Bibliographic Details

Main Authors:	Chuan, Zun Liang, Tham, Ren Sheng, Abraham Lim, Bing Sern, David Lau, King Luen
Format:	Article
Language:	en en
Published:	AID Conference 2025
Subjects:	HA Statistics QA Mathematics S Agriculture (General)
Online Access:	https://umpir.ump.edu.my/id/eprint/46882/1/IJI%20Vol%202%20Issue%201%20June%202025.pdf https://umpir.ump.edu.my/id/eprint/46882/7/A%20SMART%20FOOD%20SECURITY%20MONITORING%20AND%20PREDICTING.pdf https://drive.google.com/file/d/1SsciUn4tFczJU0pOjiFm35dtwCWwdusn/view https://umpir.ump.edu.my/id/eprint/46882/
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