Implementation of CNN for Plant Leaf Classification

Many deep learning-based approaches for plant leaf stress identification have been proposed in the literature, but there are only a few partial efforts to summarize various contributions. This study aims build classification model enable people or traditional medicine experts detect medicinal plants by using scanning camera. Android-based application implements Java programming language and labels Python learning applications. The construct image leaves that can help determine types of based on android. research public recognize five plants, including spinach Duri, Javanese ginseng, Dadap Serep, Moringa. In this study, accuracy is 0.86, precision 0.22, f-1 score 0.23, while recall 0.2375.