Plant leaf disease detection using hybrid feature extraction techniques-Reference-Cited by-同舟云学术

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Plant leaf disease detection using hybrid feature extraction techniques

Published:2024-02-07 Issue:3 Volume:57 Page:200-218
ISSN:0323-5408
Container-title:Archives of Phytopathology and Plant Protection
language:en
Short-container-title:Archives of Phytopathology and Plant Protection

Author:

Chetan H. R.¹²,Rajanna G. S.¹,Nandini G.³,Santosh K. C.⁴,Puneeth B. H.⁵,Gururaj K. S.⁶,Sreenivasa B. R.⁵,Abdul Razak M. S.⁴

Affiliation:

1. Department of ECE, Srinivasa University, Mukka, India

2. Jain Institute of Technology, Davangere, India

3. Department of ISE, BNM Institute of Technology, Bangalore, India

4. Department of CSE, Bapuji Institute of Engineering & Technology, Davangere, India

5. Department of ISE, Bapuji Institute of Engineering & Technology, Davangere, India

6. Department of ISE, GSSS Institute of Engineering & Technology for Women, Mysuru, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03235408.2024.2347985

Reference19 articles.

1. A novel deep learning method for detection and classification of plant diseases

2. Detection of maize disease using random forest classification algorithm;Chauhan MD.;Turkish J Comput Math Educ,2021

3. Plant Disease Detection using Deep Learning in Banana and Sunflower

4. Disease Detection in Tomato plants and Remote Monitoring of agricultural parameters

5. Study of digital image processing techniques for leaf disease detection and classification

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