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Using an array of sensors (E-nose) to classify Agarwood has proven to be successful and produced performance close to an expert level (90% of expert level performance) but it has proven difficult to eliminate misclassifications without over-fitting. In our effort to improve our result we explored a self-improving Case-Based Reasoning approach and reached 100% correct classification. Case-Based Reasoning...
Agarwood is an important agricultural product widely used in fragrance industries. It can be found in various parts of ASEAN countries. The price of the Agarwood is determined according to its quality, which is generally decided based on certain grade. This paper proposes an intelligent grading technique for the wood using advanced signal processing of E-nose measurements. Agarwoods from Malaysia...
This paper presents the classification of Agarwood region from Malaysia and Indonesia. The aim of this paper is to design model-based on artificial neural network (ANN). The ANN model was employed with portable E-nose to classify the Agarwood region. The experimental results demonstrate that the proposed method is effective and significant to the classification of Agarwood region.
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