Medicinal Plant identification in the wild by using CNN
Trung Nguyen Quoc, Vinh Truong Hoang
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.
Topics & Concepts
Convolutional neural networkVietnameseIdentification (biology)Computer sciencePlant identificationArtificial intelligenceDeep learningMachine learningPattern recognition (psychology)BotanyBiologyPhilosophyLinguisticsSmart Agriculture and AIBiological and pharmacological studies of plantsSpectroscopy and Chemometric Analyses