# Disclosing the Potential of Deep Learning in Cassava Leaf Disease Analysis by using CNN and Neural Networks Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/disclosing-the-potential-of-deep-learning-in-cassava-leaf-disease-analysis-by/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Arepalli Gopi,Sudha L. R,Iwin Thanakumar Joseph S |
| Citations | 3 |
| DOI | 10.1109/icict60155.2024.10544880 |
| Fields | Agricultural and Biological Sciences,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4399426808 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Arepalli Gopi](https://scholariq.org/researchers/arepalli-gopi/)
- [Sudha L. R](https://scholariq.org/researchers/sudha-l-r/)
- [Iwin Thanakumar Joseph S](https://scholariq.org/researchers/iwin-thanakumar-joseph-s/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-research-studies/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.