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Public Article
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IMPLEMENTATION OF CNNFOR PLANT LEAF CLASSIFICATION
ISSN: ISSN - N268
Publisher: author
IMPLEMENTATION OF CNNFOR PLANT LEAF CLASSIFICATION
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 3
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International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Informatics And Computation (ijic..
eISSN
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ISSN - N268
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Abstract
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 to build a classification modelto enablepeople or traditional medicine experts to detect medicinal plants by using a scanning camera. This Android-based application implements the Java programming languageand labels using the Python programming languageto build deep learning applications. Thestudy aims to constructa deep learning model for image classification forplant leaves that can help people determine the types of medicinal plants based on android. This research can help the public recognize five types of medicinal plants, including spinach Duri, Javanese ginseng, Dadap Serep, and Moringa. In this study, the accuracy is 0.86, precision 0.22, f-1 score 0.23, while recall is 0.2375.
