Implementation and assessment of new hybrid model using CNN for flower image classification-Reference-Cited by-同舟云学术

Implementation and assessment of new hybrid model using CNN for flower image classification

Published:2022-08-24 Issue:8 Volume:43 Page:1963-1973
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Kaur Rupinder¹,Jain Anubha¹

Affiliation:

1. IIS (Deemed to be University), Jaipur, Rajasthan, India

Publisher

Taru Publications

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2022.2094081

Reference15 articles.

1. Plant species or flower colour diversity? Identifying the drivers of public and invertebrate response to designed annual meadows

2. Flower classification using deep convolutional neural networks

3. Efficient deep features selections and classification for flower species recognition

4. An Optimized Computer Vision Approach to Precise Well-Bloomed Flower Yielding Prediction using Image Segmentation

5. M.Z. Alom, T. Taha, C. Yakopcic, S. Westberg, M. Hasan, B. Esesn, A. Awwal, V. Asari (2018). The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches, 2018.

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