Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27921| Title: | Development of maize plant dataset for intelligent recognition and weed control. |
| Authors: | Olaniyi, Olayemi Mikail Salaudeen, Muhammadu Tajudeen Daniya, Emmanuel Abdullahi, Ibrahim Mohammed Folorunso, Taliha Abiodun Bala, Jibril Abdullahi Nuhu, Bello Kontagora Adedigba, Adeyinka Peace Oluwole, Blessing Israel Bankole, Abdullah Oreoluwa Macarthy, Odunayo Moses |
| Keywords: | Maize images Precision agriculture Autonomous robot Herbicides |
| Issue Date: | 1-Mar-2023 |
| Publisher: | Data in Brief |
| Citation: | Olayemi Mikail Olaniyi, Muhammadu Tajudeen Salaudeen, Emmanuel Daniya, Ibrahim Mohammed Abdullahi, Taliha Abiodun Folorunso, Jibril Abdullahi Bala, Bello Kontagora Nuhu, Adeyinka Peace Adedigba, Blessing Israel Oluwole, Abdullah Oreoluwa Bankole, Odunayo Moses Macarthy, (2023), Development of maize plant dataset for intelligent recognition and weed control. Data in Brief, 109030, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109030. |
| Series/Report no.: | 109030; |
| Abstract: | Article history: Received 4 December 2022 Revised 22 February 2023 Accepted 23 February 2023 Available online 1 March 2023 Dataset link: Maize-Weed Image Dataset (Original data) Keywords: Maize images This paper focuses on the development of maize plant datasets for the purposes of recognizing maize plants and weed species, as well as the precise automated application of herbicides to the weeds. The dataset includes 36,374 im- ages captured with a high-resolution digital camera during the weed survey and 500 images annotated with the La- belmg suite. Images of the eighteen farmland locations in North Central Nigeria, containing the maize plants and their associated weeds were captured using a high-resolution cam- era in each location. This dataset will serve as a benchmark Precision agriculture Autonomous robot Herbicides for computer vision and machine learning tasks in the intel- ligent maize and weed recognition research. |
| URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27921 |
| ISSN: | 2352-3409 |
| Appears in Collections: | Computer Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Olaniyi et al -Data in Brief.pdf | Maize plant dataset publication in Data in Brief Journal | 526.31 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.