# Efficient attention-based CNN network (EANet) for multi-class maize crop disease classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-attention-based-cnn-network-eanet-for-multi-class-maize-crop-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Saleh Albahli,Momina Masood |
| Citations | 49 |
| DOI | 10.3389/fpls.2022.1003152 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fpls.2022.1003152/pdf |
| OpenAlex ID | https://openalex.org/W4304811942 |
| PMID | 36311068 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Saleh Albahli](https://scholariq.org/researchers/saleh-albahli/)
- [Momina Masood](https://scholariq.org/researchers/momina-masood/)

## Paper journal

- [Frontiers in Plant Science](https://scholariq.org/journals/frontiers-in-plant-science/)

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-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.