# UGVs for Agri Spray with AI assisted Paddy Crop disease Identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ugvs-for-agri-spray-with-ai-assisted-paddy-crop-disease-identification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Sujatha,T. Kalpalatha Reddy,N. P. G. Bhavani,R.S. Ponmagal,V. Srividhya,N. Janaki |
| Citations | 14 |
| DOI | 10.1016/j.procs.2023.12.062 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.procs.2023.12.062 |
| OpenAlex ID | https://openalex.org/W4390643622 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [R.S. Ponmagal](https://scholariq.org/researchers/r-s-ponmagal/)
- [N. Janaki](https://scholariq.org/researchers/n-janaki/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)

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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.