Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine
- Title
- Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine
- Description
- 2023 4th International Conference on Electronics and Sustainable Communication Systems, ICESC 2023 - Proceedings pp.1179-1184
- Creator
- Chaturvedi A.; Yagnasree S.; Chhabra G.; Chidambara Rajan P.; Chauhan A.; Maranan R.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168308909&doi=10.1109%2fICESC57686.2023.10193102&partnerID=40&md5=08c0d015be371abbdda4a5eb115cac80" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168308909&doi=10.1109%2fICESC57686.2023.10193102&partnerID=40&md5=08c0d015be371abbdda4a5eb115cac80</a>
- Date
- 2023-01-01
Collection
Citation
Chaturvedi A.; Yagnasree S.; Chhabra G.; Chidambara Rajan P.; Chauhan A.; Maranan R., “Efficient Method for Tomato Leaf Disease Detection and Classification based on Hybrid Model of CNN and Extreme Learning Machine,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10223.