# An advanced deep learning models-based plant disease detection: A review of recent research

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-advanced-deep-learning-models-based-plant-disease-detection-a-review-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Shoaib,Babar Shah,Shaker El–Sappagh,Akhtar Ali,Asad Ullah,Fayadh Alenezi,Tsanko Gechev,Tariq Hussain,Farman Ali |
| Citations | 470 |
| DOI | 10.3389/fpls.2023.1158933 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fpls.2023.1158933/pdf |
| OpenAlex ID | https://openalex.org/W4328115538 |
| PMID | 37025141 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Fayadh Alenezi](https://scholariq.org/researchers/fayadh-alenezi/)

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.