# PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pplc-net-neural-network-based-plant-disease-identification-model-supported-by/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guowei Dai,Jingchao Fan,Zhimin Tian,Chaoyu Wang |
| Citations | 70 |
| DOI | 10.1016/j.jksuci.2023.101555 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.jksuci.2023.101555 |
| OpenAlex ID | https://openalex.org/W4365517398 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Guowei Dai](https://scholariq.org/researchers/guowei-dai/)
- [Jingchao Fan](https://scholariq.org/researchers/jingchao-fan/)
- [Zhimin Tian](https://scholariq.org/researchers/zhimin-tian/)

## 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/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)

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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.