Abstract

This paper presents a technique for determining coconut quality based on the natural resonant frequencies, which are extracted from the scattering responses of the coconut. However, the substantial overlap in the natural frequencies of good and spoiled coconuts makes classification more challenging. To overcome this, a random forest classifier is employed for classification. Experimental results indicate that while conventional method achieves an accuracy of 63%, the random forest improves classification accuracy to 73.7%.