Smart agriculture economics and engineering: Unveiling the innovation behind ai-enhanced rice farming

Chuan, Zun Liang and Tham, Ren Sheng and Tan, Chek Cheng and Abraham Lim, Bing Sern and Chong, Yeh Sai (2025) Smart agriculture economics and engineering: Unveiling the innovation behind ai-enhanced rice farming. Multidisciplinary Applied Research and Innovation, 6 (2). pp. 1-17. ISSN 2773-4773. (Published)

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Abstract

Food security challenges in Southeast Asia, across all income brackets, have been growing, according to the Food and Agriculture Organization (FAO) of the United Nations. This article introduced innovative Artificial Intelligence-based (AI-based) predictive algorithms for short-term rice production, utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science framework. The predictive algorithms integrated features addressing three food security dimensions: availability, accessibility, and stability, and identified key determinants in three clusters: atmospheric, socioeconomic, and farming practices. By employing the proposed innovative modified stacked Multiple Linear Regression-Support Vector Regression-based (MLR-SVR-based) algorithms, and ranking them utilizing the modified Taguchi-based VIseKriterijumska Optimizacija I Kompromisno Resenje (Taguchi-based VIKOR) multi-criteria decision-making algorithm, the analysis demonstrated high predictive accuracy even with limited data. The proposed AI-based predictive algorithm was utilized to forecast 5-year future rice production for Southeast Asia nations, yielding generally accurate results except for Cambodia (KHM). This research has significant implications for agriculture, food production, data analytics, and policymaking, potentially enhancing efficiency and innovation in agricultural operations.

Item Type: Article
Uncontrolled Keywords: Food security; Rice production prediction; AI-based predictive algorithm; Southeast Asia; Modified Taguchi-based VIKOR; Multi-criteria decision-making
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics
S Agriculture > S Agriculture (General)
Faculty/Division: Center for Mathematical Science
Institute of Postgraduate Studies
Depositing User: Dr. Zun Liang Chuan
Date Deposited: 20 Feb 2025 02:07
Last Modified: 20 Feb 2025 02:07
URI: http://umpir.ump.edu.my/id/eprint/43868
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