Detection of Moisture Content of Fruits Using ANN
Abstract
Percentage of moisture is an essential quality factor to detect the freshness of the fruit. Moisture Content (MC) has real impact on the mass of fruit. Proposed method is used to get texture parameters that imply the fruit?s density. The MC of a fruit can be measured using statistical approach. To measure this, few texture parameters are analyzed from different views. In this light, artificial neural network (ANN) is used to get the loss moisture content as an error by considering the determined texture parameters as input. ANN estimates the moisture content of fruit with higher accuracy.
Keywords MC-Moisture Content, ANN-Artificial neural network, freshness.
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