# Investigation on Object Detection Models for Plant Disease Detection Framework

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/investigation-on-object-detection-models-for-plant-disease-detection-framework/

## Facts

| Field | Value |
| --- | --- |
| Author Names | R. Kavitha Lakshmi,S. Nickolas |
| Citations | 8 |
| DOI | 10.1109/iccca52192.2021.9666441 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4206690543 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [R. Kavitha Lakshmi](https://scholariq.org/researchers/r-kavitha-lakshmi/)
- [S. Nickolas](https://scholariq.org/researchers/s-nickolas/)

## Paper journal

- [2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)](https://scholariq.org/journals/2021-ieee-6th-international-conference-on-computing-communication-and-automation/)

## 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 Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [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.