Implementasi Transfer Learning Dalam Klasifikasi Kematangan Buah Naga Menggunakan Model Inception V3
DOI:
https://doi.org/10.47065/jieee.v5i1.2701Keywords:
Classification; Dragon Fruit; Deep Learning and PythonAbstract
Abstract? The process of processing dragon fruit maturity data using inception V3 architecture which in analyzing dragon fruit maturity can classify results related to image processing. The purpose of this research is to develop the implementation of dragon fruit maturity that relates to the phyton programming language and transfer learning on fruit maturity. Can perform the process of extracting fruit maturity pattern recognition based on digital images using the Inception V3 model. In addition, data processing uses accurate calculations such as accuracy, precision, recall and F1-score which can divide the fityr class so that the image processing system can distinguish which fruit is ripe from immature fruit.
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