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Academic Journal of Computing & Information Science, 2021, 4(8); doi: 10.25236/AJCIS.2021.040815.

Recognition and classification of flower species based on artificial intelligence


Jianghao Chen1, Yiming Huo2, Junyu Li3

Corresponding Author:
Jianghao Chen

1Indiana University Bloomington, Bloomington, IN, United States

2Hangzhou Dianzi University, Hangzhou, Zhejiang, China

3Beijing No.35 High School, Beijing, China


The deep learning algorithm draws more and more attention in recent years. It mimics how human recognize images, and the ability of extract abstract features from original input, which greatly improves the efficiency of image processing, makes it popular in fields like image recognition and face recognition. This paper discusses the application of deep learning algorithm by showing how it relates to each field and designs a flower recognition experiment to explore how deep learning algorithm works. The experiment focuses on the best-known CNN model and chooses three kinds of flowers to test its efficiency and the impact of parameters in the model, like learning rate and steps. The experiment also explores the optimization which focuses on the overfitting.


AI, deep learning algorithm, image recognition

Cite This Paper

Jianghao Chen, Yiming Huo, Junyu Li. Recognition and classification of flower species based on artificial intelligence. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 8: 78-82. https://doi.org/10.25236/AJCIS.2021.040815.


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