Using Deep Learning Techniques to Detect Rice Diseases from Images of Rice Fields-Reference-Cited by-同舟云学术

Using Deep Learning Techniques to Detect Rice Diseases from Images of Rice Fields

Published:2020 Issue: Volume: Page:225-237
ISSN:0302-9743
Container-title:Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices
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Author:

Kiratiratanapruk Kantip^ORCID,Temniranrat Pitchayagan^ORCID,Kitvimonrat Apichon^ORCID,Sinthupinyo Wasin^ORCID,Patarapuwadol Sujin^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-55789-8_20

Reference15 articles.

1. Thailand Rice Department Homepage. http://www.ricethailand.go.th/rkb3/Disease.htm. Accessed 2016

2. IRRI Rice Knowledge Bank Homepage. http://www.knowledgebank.irri.org/step-by-step-production/growth/pests-and-diseases/diseases

3. Kaur, S., Pandey, S., Goel, S.: Plants disease identification and classification through leaf images: a survey. Arch. Computat. Methods Eng. 26(2), 507–530 (2018). https://doi.org/10.1007/s11831-018-9255-6

4. Shrivastava, V.K., Pradhan, M.K., Minz, S., Thakur, M.P.: Rice plant disease classification using transfer learning of deep convolution neural network, pp. 631–635 (2019)

5. Vanitha, V.: Rice disease detection using deep learning. Int. J. Recent Technol. Eng. (IJRTE) 7, 534–542 (2019)

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