Optimum Dataset Size for Ayurvedic Plant Leaf Recognition Using Convolution Neural Networks-Reference-Cited by-同舟云学术

Optimum Dataset Size for Ayurvedic Plant Leaf Recognition Using Convolution Neural Networks

Published:2021 Issue: Volume: Page:249-261
ISSN:2367-4512
Container-title:Data Management, Analytics and Innovation
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Author:

Rajesh K. V. N.,Bhaskari D. Lalitha

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2934-1_16

Reference10 articles.

1. Luo C, Li X, Wang L, He J, Li D, Zhou J (2018) How does the data set affect cnn-based image classification performance? In: 2018 5th International conference on systems and informatics (ICSAI), pp 361–366

2. Xu G, Wu R, Wang Q (2020)Multi-granular angle description for plant leaf classification and retrieval based on quotient space. J Inf Process Syst 16(3):663–676

3. Huynh HX, Truong BQ, Nguyen Thanh KT, Truong DQ (2020)Plant identification using new architecture convolutional neural networks combine with replacing the red of color channel image by vein morphology leaf. Vietnam J Comput Sci 07(02):197–208

4. Huixian J (2020) The analysis of plants image recognition based on deep learning and artificial neural network. IEEE Access 8:68828–68841

5. Pankaja K, Suma V (2020) Plant leaf recognition and classification based on the whale optimization algorithm (woa) and random forest (rf). J Inst Eng (India) Ser B

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