# Extracting Fruit Disease Knowledge from Research Papers Based on Large Language Models and Prompt Engineering

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/extracting-fruit-disease-knowledge-from-research-papers-based-on-large-language/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yunqiao Fei,Jingchao Fan,Guomin Zhou |
| Citations | 13 |
| DOI | 10.3390/app15020628 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2076-3417/15/2/628/pdf?version=1736512075 |
| OpenAlex ID | https://openalex.org/W4406243114 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Jingchao Fan](https://scholariq.org/researchers/jingchao-fan/)

## Paper journal

- [Applied Sciences](https://scholariq.org/journals/applied-sciences/)

## Paper primary topic

- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

## Paper topics

- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

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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.