# LDDNet: A Custom Inception Layer-Based CNN for Enhanced Leaf Disease Detection in Precision Agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/lddnet-a-custom-inception-layer-based-cnn-for-enhanced-leaf-disease-detection-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | B. Surekha,T. Subhamastanrao |
| Citations | 0 |
| DOI | 10.31449/inf.v49i23.7835 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.informatica.si/index.php/informatica/article/download/7835/4509 |
| OpenAlex ID | https://openalex.org/W4411959794 |
| Type | article |
| Year | 2025 |

## Paper authors

- [T. Subhamastanrao](https://scholariq.org/researchers/t-subhamastanrao/)

## Paper journal

- [Informatica](https://scholariq.org/journals/informatica/)

## 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/)

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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.