Data · dataset · 2024
Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
Listed in REDU - Unicamp Institutional Research Data Repository
This dataset contains images, color features, and postharvest quality analysis data from indoor growing microgreens.
Description
Image bank contains raw images of 9 species of microgreens grown indoors under different light intensities, obtained under different colors of light source, as well as the regions of interest extracted from each image. Dataset includes the color attributes extracted from the images, physicochemical and pigment analysis data.
All python scripts for all steps of pre-processing, processing, modeling and validation of non-destructive machine learning methods for estimating pigment content are available.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FBJREFS ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/bjrefs ↗
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
- From keywords
- Computer Science & AI · Computer vision · Life Sciences · Machine learning
- Inferred from text
- Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/BJREFS | 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].anzsrc:group:4611 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Machine learning'] |
| concepts[field].dataverse_subject:agricultural-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: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%) |
| 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 |