# Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/revolutionizing-agriculture-with-artificial-intelligence-plant-disease-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abbas Jafar,Nabila Bibi,Rizwan Ali Naqvi,Abolghasem Sadeghi‐Niaraki,Daesik Jeong |
| Citations | 279 |
| DOI | 10.3389/fpls.2024.1356260 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1356260/pdf |
| OpenAlex ID | https://openalex.org/W4392754729 |
| PMID | 38545388 |
| Type | article |
| Year | 2024 |

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.