A Novel Deep Learning Framework Approach for Sugarcane Disease Detection-Reference-Cited by-同舟云学术

A Novel Deep Learning Framework Approach for Sugarcane Disease Detection

Published:2020-03 Issue:2 Volume:1 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Srivastava Sakshi,Kumar Prince,Mohd Noor,Singh Anuj,Gill Fateh Singh

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1007/s42979-020-0094-9.pdf

Reference19 articles.

1. Khan A, Yadav MS, Ahmad S. Image processing based disease detection for sugarcane leaves. Int J Adv Res Ideas Innov Technol. 2017;3(4):497–502.

2. Viswanathan R, Rao GP. Disease scenario and management of major sugarcane diseases in India. Sugar Tech. 2011;13(4):336–53.

3. Padhy JB, et al. Leaf disease detection using K-means clustering and fuzzy logic classifier. Int J Eng Stud Tech Approach. 2016;2:5.

4. Patil SB, Bodhe SK. Leaf disease severity measurement using image processing. Int J Eng Technol. 2011;3(5):297–301.

5. Badnakhe MR, Deshmukh PR. An application of K-means clustering and artificial intelligence in pattern recognition for crop diseases. In: International conference on advancements in information technology with workshop of ICBMG 2011 IPCSIT vol. 20; 2011.

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