# Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/leveraging-deep-learning-for-plant-disease-and-pest-detection-a-comprehensive/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Shoaib,Abolghasem Sadeghi‐Niaraki,Farman Ali,Irfan Hussain,Shah Khalid |
| Citations | 113 |
| DOI | 10.3389/fpls.2025.1538163 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2025.1538163/pdf |
| OpenAlex ID | https://openalex.org/W4407828600 |
| PMID | 40061031 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Abolghasem Sadeghi‐Niaraki](https://scholariq.org/researchers/abolghasem-sadeghi-niaraki/)

## 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/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-research-studies/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)

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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.