# Development of maize plant dataset for intelligent recognition and weed control

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-maize-plant-dataset-for-intelligent-recognition-and-weed-control/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Olayemi Mikail Olaniyi,Muhammadu Tajudeen Salaudeen,Emmanuel Daniya,Ibrahim Mohammed Abdullahi,Taliha Abiodun Folorunso,Jibril Abdullahi Bala,Bello Kontagora Nuhu,Adeyinka P. Adedigba,Blessing Israel Oluwole,Abdullah Oreoluwa Bankole,Odunayo Moses Macarthy |
| Citations | 10 |
| DOI | 10.1016/j.dib.2023.109030 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.dib.2023.109030 |
| OpenAlex ID | https://openalex.org/W4322723106 |
| PMID | 36936631 |
| Type | data-paper |
| Year | 2023 |

## Paper authors

- [Adeyinka P. Adedigba](https://scholariq.org/researchers/adeyinka-p-adedigba/)

## 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/)
- [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.