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Journal of Electrical and Computer Engineering
Volume 2018, Article ID 6070129, 7 pages
Research Article

Plant Diseases Recognition Based on Image Processing Technology

Nankai University, College of Electronic Information and Optical Engineering, Tianjin 300350, China

Correspondence should be addressed to Guiling Sun; nc.ude.iaknan@lgnus

Received 23 November 2017; Revised 12 March 2018; Accepted 10 April 2018; Published 21 May 2018

Academic Editor: Jose R. C. Piqueira

Copyright © 2018 Guiling Sun 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 [4 citations]

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

  • Abirami Devaraj, Karunya Rathan, Sarvepalli Jaahnavi, and K Indira, “Identification of Plant Disease using Image Processing Technique,” 2019 International Conference on Communication and Signal Processing (ICCSP), pp. 0749–0753, . View at Publisher · View at Google Scholar
  • A. Diana Andrushia, and A. Trephena Patricia, “Artificial bee colony optimization (ABC) for grape leaves disease detection,” Evolving Systems, 2019. View at Publisher · View at Google Scholar
  • Fadia Shah, Jianping Li, Faiza Shah, Wang Zhou, Jalaluddin Khan, and Yasir Shah, “Hybrid Compression of Medical Images with Wavelets,” 2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2018, pp. 6–9, 2019. View at Publisher · View at Google Scholar
  • Alberto Ruiz, Federico Murcia Labaña, and Francisco García-Sánchez, “PestDetect: Pest Recognition Using Convolutional Neural Network,” Advances in Intelligent Systems and Computing, vol. 901, pp. 99–108, 2019. View at Publisher · View at Google Scholar