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ABOUT US PROJECTS FASILITIES TRAINING GUIDELINES TOOLS ACTIVITIES AI@AGRI

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Explainable AI via Logic Mining Algorithm: Fundamental Applied Mathematics Solution for Agricultural Sector

PROJECT SUMMARY

A discrete classification tool that allows mathematical computational model such as ANN to make sense of complex data, identify patterns, and make decisions in the form of logical rule. In this case, agricultural-related real-life data.

IMPACT

Produced tangible output (final induced logic) that represent the whole behavior of the dataset which is useful for decision-making purposes. Transparent validation and verification tool. Serves as an effective alternative or complementary method to costly and time-consuming in vivo (field trials) or in vitro (laboratory-based) experiments.


RESEARCHER

Dr. Nur Ezlin Zamri
Universiti Putra Malaysia

Universiti Putra Malaysia
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