A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases-Reference-Cited by-同舟云学术

A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases

Published:2023-06-03 Issue:6 Volume:45 Page:471-484
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Nath Manabendra¹,Mitra Pinaki²,Kumar Deepak¹

Affiliation:

1. Department and Organization, NIT Meghalaya, Shillong, India

2. Department and Organization, IIT Guwahati, Guwahati, India

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2023.2235750

Reference47 articles.

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2. India TB. State/region wise and month wise tea production data for the year 2021(final) – qty. in m.kgs, https://rb.gy/idee3t.

3. India TB. Major country wise exports, https://rb.gy/ttfalz.

4. Chen Z, Chen X. The diagnosis of tea diseases and their control (in chinese) shanghai. Shanghai, China: Shanghai Scientific and Technical Publishers; 1990. p. 32–41.

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