# An End-to-End Deep Learning Based Approach for Plant Disease Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-end-to-end-deep-learning-based-approach-for-plant-disease-recognition/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mingyue Guo,Qiutong Li,Deyu Liu |
| Citations | 4 |
| DOI | 10.1109/cisce62493.2024.10653053 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4402353277 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Mingyue Guo](https://scholariq.org/researchers/mingyue-guo/)
- [Qiutong Li](https://scholariq.org/researchers/qiutong-li/)
- [Deyu Liu](https://scholariq.org/researchers/deyu-liu/)

## 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/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [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.