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Medicinal Plant identification in the wild by using CNN
- Source :
- ICTC
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Plant identification based on deep learning received many attention and effort from the research community with many promising results. It becomes an active trend in the recent years. We apply Convolutional Neural Network (CNN) to recognize Vietnamese medicinal plant images in this paper. Different frameworks are evaluated such as: VGG16, Resnet50, InceptionV3, DenseNet121, Xception and MobileNet. The highest accuracy reached by Xception with 88.26%. We might think this approach will greatly contribute to the discovery and conservation of valuable medicinal plants.
- Subjects :
- 0106 biological sciences
business.industry
Computer science
Deep learning
Vietnamese
02 engineering and technology
Machine learning
computer.software_genre
010603 evolutionary biology
01 natural sciences
Convolutional neural network
language.human_language
Plant identification
0202 electrical engineering, electronic engineering, information engineering
language
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 International Conference on Information and Communication Technology Convergence (ICTC)
- Accession number :
- edsair.doi...........654329ffd34718d9eb70462e90da4aa3