Rice Plant Disease Detection Using Image Processing and Probabilistic Neural Network-Reference-Cited by-同舟云学术

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Rice Plant Disease Detection Using Image Processing and Probabilistic Neural Network

Published:2022 Issue: Volume: Page:82-94
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

Ökten İrfan^ORCID,Yüzgeç Uğur^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-01984-5_7

Reference22 articles.

1. Weizheng, S., Yachun, W., Zhanliang, C., Hongda, W.: Grading method of leaf spot disease based on image processing. In: Computer Science and Software Engineering, 2008 International Conference on IEEE, vol. 6, pp. 491–494. IEEE, Wuhan, China (2008)

2. Rice Production (Peace Corps), Chapter 14 – Diseases of rice. http://www.nzdl. Accessed 19 Oct 2021

3. ChandraKarmokar, B., Ullah, M.S., Kibria Siddiquee, M., Kazi, M., Alam, R.: Tea leaf diseases recognition using neural network ensemble. Int. J. Comput. Appl. 114(17), 27–30 (2015)

4. Wang, G., Sun, Y., Wang, J.: Automatic image-based plant disease severity estimation using deep learning. Comput. Intell. Neurosci. (2017)

5. Fuentes, A., Yoon, S., Kim, S.C., Park, D.S.: A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition. Sensors 17(9), 2022 (2017)

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