# Deep Learning-Driven Plant Pathology Assistant: Enabling Visual Diagnosis with AI-Powered Focus and Remediation Recommendations for Precision Agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-driven-plant-pathology-assistant-enabling-visual-diagnosis-with-ai/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kang Ji-chang,Ran Wang,Lianjun Zhao |
| Citations | 1 |
| DOI | 10.3390/agriengineering7110386 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2624-7402/7/11/386/pdf?version=1763031706 |
| OpenAlex ID | https://openalex.org/W4416187769 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Kang Ji-chang](https://scholariq.org/researchers/kang-ji-chang/)
- [Ran Wang](https://scholariq.org/researchers/ran-wang/)
- [Lianjun Zhao](https://scholariq.org/researchers/lianjun-zhao/)

## Paper journal

- [AgriEngineering](https://scholariq.org/journals/agriengineering/)

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)

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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.