# A Computer Vision System for Guava Disease Detection and Recommend Curative Solution Using Deep Learning Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-computer-vision-system-for-guava-disease-detection-and-recommend-curative/

## Facts

| Field | Value |
| --- | --- |
| Author Names | A S M Farhan Al Haque,Rubaiya Hafiz,Md. Azizul Hakim,Gazi Islam |
| Citations | 63 |
| DOI | 10.1109/iccit48885.2019.9038598 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3011154745 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Gazi Islam](https://scholariq.org/researchers/gazi-islam/)

## 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/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-research-studies/)
- [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.