Automated Flower Species Identification by Using Deep Convolution Neural Network-Reference-Cited by-同舟云学术

Automated Flower Species Identification by Using Deep Convolution Neural Network

Published:2022 Issue: Volume: Page:1-10
ISSN:2190-3018
Container-title:Intelligent Data Engineering and Analytics
language:
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Author:

Bondre Shweta,Yadav Uma

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6624-7_1

Reference15 articles.

1. Lodh, A., Parekh, R.: Flower recognition system based on color and GIST features. (2017). https://doi.org/10.1109/DEVIC.2017.8074061

2. Tiay, T., Benyaphaichit, P., Riyamongkol, P.: Flower recognition system based on image processing. (2014). https://doi.org/10.1109/ICT-ISPC.2014.6923227

3. Mete, B.R., Ensari, T.: Flower classification with deep CNN and machine learning algorithms. (2019). https://doi.org/10.1109/ISMSIT.2019.8932908

4. Poojitha, V., Bhadauria, M., Jain, S., Garg, A.: A collocation of IRIS flower using neural network clustering tool in MATLAB. (2016). https://doi.org/10.1109/CONFLUENCE.2016.7508047

5. Guru, D.S., Sharath, Y.H., Manjunath, S.: Texture features and KNN in classification of flower images. IJCA Spec. Issue “Recent Trends Image Process. Pattern Recognit. 21–29 (2010)

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