# Research on Recognition Model of Crop Diseases and Insect Pests Based on Deep Learning in Harsh Environments

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/research-on-recognition-model-of-crop-diseases-and-insect-pests-based-on-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yong Ai,Chong Sun,Jun Tie,Xiantao Cai |
| Citations | 167 |
| DOI | 10.1109/access.2020.3025325 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8948470/09201298.pdf |
| OpenAlex ID | https://openalex.org/W3088186260 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yong Ai](https://scholariq.org/researchers/yong-ai/)
- [Chong Sun](https://scholariq.org/researchers/chong-sun/)
- [Jun Tie](https://scholariq.org/researchers/jun-tie/)
- [Xiantao Cai](https://scholariq.org/researchers/xiantao-cai/)

## Paper funders

- [Fundamental Research Funds for the Central Universities](https://scholariq.org/funders/fundamental-research-funds-for-the-central-universities/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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/)

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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.