Data · dataset · 2026
Controlled imaging dataset of sugarcane stems for varietal classification studies
Listed in REDU - Unicamp Institutional Research Data Repository
This repository contains a dataset of high-quality images of sugarcane stems from two varieties—Vertix 03 and Vertix 12—collected at approximately ten months of growth.
Description
The images were produced under controlled laboratory conditions following a dedicated acquisition protocol specifically developed to ensure high image quality and consistency. The dataset was originally created for Lemos’ doctoral research, in which it served as the foundation for training and evaluating artificial intelligence models aimed at varietal classification of sugarcane.
To the best of our knowledge, all samples were obtained from healthy plants. Each image depicts a single sugarcane stem photographed against a neutral black background under standardized lighting conditions. The images are stored in JPEG format, with a resolution of approximately 24 megapixels (6000 × 4000 pixels) and an average file size of about 5 megabytes.
Read the rest (2 more)
No post-processing was applied. The dataset is organized as follows: • 1 PDF file (this document): Description and metadata of the repository • 4 JPEG files: Random image samples illustrating the dataset contents • 1 ZIP file: Images of the empty background • 1 ZIP file: Images of the studio and the image acquisition setup • 2 ZIP files: Images of Vertix 03 (parts 1 and 2), for focal distances of 35 mm • 2 ZIP files: Images of Vertix 03 (parts 1 and 2), for focal distances of 50 mm • 1 ZIP file: References for Vertix 03
- • 2 ZIP files: Images of Vertix 12 (parts 1 and 2), for focal distances of 35 mm • 2 ZIP files: Images of Vertix 12 (parts 1 and 2), for focal distances of 50 mm • 1 ZIP file: References for Vertix 12
- * Reference images, such as sugarcane stems photographed alongside rulers or pens for scale calibration. This dataset is intended primarily for research in varietal classification and related fields such as computer vision, plant phenotyping, and machine learning applied to agricultural analysis. Details about the photographic setup and acquisition parameters are provided in the following sections of this document.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FEX1MQD ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/ex1mqd ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Agricultural Sciences · Computer and Information Science · Earth and Environmental Sciences
- From keywords
- Computer Science & AI · Computer vision · Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/EX1MQD | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460304 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Computer vision'] |
| concepts[field].dataverse_subject:agricultural-sciences | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].dataverse_subject:computer-and-information-science | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · redu unicamp br | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:imaging | enrichment · redu unicamp br | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |