Performance Evaluation of Image-Based Diseased Leaf Identification Model Using CNN and GA-Reference-Cited by-同舟云学术

Performance Evaluation of Image-Based Diseased Leaf Identification Model Using CNN and GA

Published:2022 Issue: Volume: Page:167-177
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Shrotriya Anita,Sharma Akhilesh Kumar,Grover Jyoti

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8542-2_13

Reference12 articles.

1. Mohanty SP, Hughes DP, Salathé M (2016) Using deep learning for image-based plant disease detection. Front Plant Sci 7:1419–1429

2. Kumara S, Sharmab B, Sharmab VK, Sharmac H, Bansald JC (2018) Plant leaf disease identification using exponential spider monkey optimization. Sustain Comput Inform Syst 170–183

3. Bhandare A, Kaur D (2018) Designing convolutional neural network architecture using genetic algorithms. In: Int'l Conf. Artificial Intelligence, pp 150–156

4. Zhining Y, Yunming P (2015) The genetic convolutional neural network model based on random sample. Int J U-E-Serv Sci Technol 8(11):317–326

5. Pramanik S, Bandyopadhyay SK, Bhattacharyya D, Kim T (2010) Identification of plant using leaf image analysis. In: Kim T, Pal SK, Grosky WI, Pissinou N, Shih TK, Ślęzak D (eds) Signal processing and multimedia. MulGraB 2010, SIP 2010. Communications in computer and information science, vol 123. Springer, Berlin, Heidelberg

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