# DeepConvLeafNet: A Convolutional Neural Network Approach for Tomato Leaf Disease Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deepconvleafnet-a-convolutional-neural-network-approach-for-tomato-leaf-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | B M Halaswamy,C B Vinutha,M K Shyla |
| Citations | 0 |
| DOI | 10.1109/icact67549.2025.11351383 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7125941166 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [B M Halaswamy](https://scholariq.org/researchers/b-m-halaswamy/)
- [C B Vinutha](https://scholariq.org/researchers/c-b-vinutha/)
- [M K Shyla](https://scholariq.org/researchers/m-k-shyla/)

## 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/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.