# Plant Disease Detection Based on YOLOv3 and YOLOv4

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/plant-disease-detection-based-on-yolov3-and-yolov4/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Apu Shill,Md Asifur Rahman |
| Citations | 36 |
| DOI | 10.1109/acmi53878.2021.9528179 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3200837324 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Apu Shill](https://scholariq.org/researchers/apu-shill/)
- [Md Asifur Rahman](https://scholariq.org/researchers/md-asifur-rahman/)

## Paper journal

- [2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)](https://scholariq.org/journals/2021-international-conference-on-automation-control-and-mechatronics-for/)

## 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/)

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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.