A Comprehensive Review and Discussion of Segmentation based Tomato Plant Disease Detection Approaches-Reference-Cited by-同舟云学术

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A Comprehensive Review and Discussion of Segmentation based Tomato Plant Disease Detection Approaches

Published:2023-11-01 Issue: Volume:5 Page:1-7
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
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Author:

Shrivastav Supriya¹,Jindal Vikas¹,Eswarawaka Rajesh²,Ray Dipika³

Affiliation:

1. Chandigarh University,Department of Computer Science and Engineering,Mohali,Punjab,India

2. AMC Engineering College,Department of AIML,Bengaluru,Karnataka

3. AMC Engineering College,Department of Computer Science and Engineering,Bengaluru,Karnataka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369911.pdf?arnumber=10369911

Reference32 articles.

1. Economic implications of tomato production in naushahroferoze district of Sindh Pakistan;Noonari;Res Humanit Soc Sci,2015

2. Tomato-a natural medicine and its health benefits;Kumar;Journal of Pharmacognosy and Phytochemistry.,2012

3. Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion

4. Biomedical image fusion and segmentation using glcm;Sahoo

5. Segmentation of tomato leaf images based on adaptive clustering number of K-means algorithm

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