Classification of clove types using convolution neural network algorithm with optimizing hyperparamters
Firman Tempola,
Retantyo Wardoyo,
Aina Musdholifah
et al.
Abstract:This study uses clove imagery by classifying it according to ISO 2254-2004 standards: whole, headless, and mother clove. This type of clove will affect the quality and economic value when it has been dried. For this reason, it is necessary to take a first step to control cloves' quality. One way is to classify it from the start. This research will utilize the convolution neural network algorithm and compare it with model transfer learning and modified VGG16 architecture on clove images. In addition, research i… Show more
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