# Do we really need deep CNN for plant diseases identification?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/do-we-really-need-deep-cnn-for-plant-diseases-identification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yang Li,Jing Nie,Xuewei Chao |
| Citations | 237 |
| DOI | 10.1016/j.compag.2020.105803 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3091488873 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yang Li](https://scholariq.org/researchers/yang-li/)
- [Jing Nie](https://scholariq.org/researchers/jing-nie/)
- [Xuewei Chao](https://scholariq.org/researchers/xuewei-chao/)

## Paper funders

- [National Natural Science Foundation of China](https://scholariq.org/funders/national-natural-science-foundation-of-china/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-agriculture/)

## 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.