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ABOUT US PROJECTS FASILITIES TRAINING GUIDELINES TOOLS ACTIVITIES AI@AGRI    
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DATA-DRIVEN OPTIMIZATION FOR MALAYSIAN RICE SELF-SUFFICIENCY

PROJECT SUMMARY

AI-powered prescriptive analytics dashboard designed to transform Malaysia's approach to rice self- sufficiency. Target – To empower stakeholders with actionable insights, ensuring a more secure and sustainable food future for Malaysia.

IMPACT

Increased Rice Yields & Production, Optimized Resource Utilization & Cost Savings for Farmers, Reduced Import Reliance, Improved Decision-Making & Policy Effectiveness


RESEARCHER

Dr. Maslina Zolkepli, Assoc. Prof. Dr. Teh Noranis Mohd. Aris, Dr. Syaifulnizam Abd. Manaf
Universiti Putra Malaysia

Universiti Putra Malaysia
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