Classification of Fig Ripeness Using Convolutional Neural Network Based Android
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Abstract
Fig is a fruit that comes from the Middle East. However, there are several figs that can be found in Indonesia, such as Green Jordan Fig. A lot of people like this fruit because of its sweet taste and has many benefits to be used as medicine. The classification of fig ripeness generally uses subjective human eye so that it can cause errors due to the insignificant characteristics of fig ripeness when ripe and inripe, when ripe it is light green, slightly yellowish, while when inripe the fruit is green. Therefore, the author got the idea to make an application for classification of fig ripeness via image based on Android using the Convolutional Neural Network algorithm. In this study, the results obtained accuracy of 94%.
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How to Cite
[1]
M. A. Yusman, E. Evanita, and A. A. Riadi, “Classification of Fig Ripeness Using Convolutional Neural Network Based Android”, JuTISI, vol. 9, no. 2, pp. 167 –, Aug. 2023.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial used, distribution and reproduction in any medium.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.