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Advances in Multimedia
Volume 2018, Article ID 6710865, 10 pages
https://doi.org/10.1155/2018/6710865
Research Article

Can Deep Learning Identify Tomato Leaf Disease?

1College of Engineering, Northeast Agricultural University, Harbin 150030, China
2College of Science, Northeast Agricultural University, Harbin 150030, China

Correspondence should be addressed to Qiufeng Wu; nc.ude.uaen@uwfq

Received 9 June 2018; Accepted 30 August 2018; Published 26 September 2018

Academic Editor: Alexander Loui

Copyright © 2018 Keke Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Diksha Puri, Abhinav Kumar, Jitendra Virmani, and Kriti, “Classification of leaves of medicinal plants using laws’ texture features,” International Journal of Information Technology, 2019. View at Publisher · View at Google Scholar
  • Justine Boulent, Samuel Foucher, Jérôme Théau, and Pierre-Luc St-Charles, “Convolutional Neural Networks for the Automatic Identification of Plant Diseases,” Frontiers in Plant Science, vol. 10, 2019. View at Publisher · View at Google Scholar
  • Qiufeng Wu, Keke Zhang, and Jun Meng, “Identification of Soybean Leaf Diseases via Deep Learning,” Journal of The Institution of Engineers (India): Series A, 2019. View at Publisher · View at Google Scholar