# Towards Leaf Disease Recognition from Individual Lesions Using Deep Learning Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-leaf-disease-recognition-from-individual-lesions-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lawrence C. Ngugi,Mohammed Abo‐Zahhad,Moataz M. Abdelwahab |
| Citations | 1 |
| DOI | 10.1109/jac-ecc54461.2021.9691444 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4210562903 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Lawrence C. Ngugi](https://scholariq.org/researchers/lawrence-c-ngugi/)

## 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/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)

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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.