Text · dataset · 2021
Vineyard dataset with anotation of leaf density - for precision spraying
Listed in INESC TEC Research Data Repository
PRYSM is a project from CRIIS - INESC TEC, which focuses on developing robotics solutions for vineyard smart and precision spraying.
Description
The main objective is to develop a smart and precision electrical sprayer that allows better management of pesticide use. This activity has a lower impact on the environment and represents a lower expenditure of resources in agriculture.
Therefore, this project requires a reliable computer vision system to classify the leaf density in the vineyards. The current dataset consists of 475 images of size 640x480, and it was collected using a stereo camera assembled in a robotic platform. Every image was manually annotated using an application that defines three regions of interest and then asks for the leaf density on each of these regions.
Read the rest (2 more)
The value is inserted in the four classes: 0% leaves, 33% leaves, 66% leaves, or 100% leaves. This value is then saved in a text file, together with the name of the image. This way, to use this dataset, it is necessary to first consider the name of the image in each line of the text file and then three values corresponding to the leaf density of the three regions of interest.
This dataset is for those who want to calculate the foliar density of the vines in a central area of the image and three different regions of interest.
Links
Get the data
- images rdm.inesctec.pt/dataset/03f66ab9-6573-45d3-800e-fc8ad3692b58/resource/158c9729… ↗
download · from rdm inesctec pt
- annotations rdm.inesctec.pt/dataset/03f66ab9-6573-45d3-800e-fc8ad3692b58/resource/1226b857… ↗
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/ise-2021-001 ↗
landing page · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=03f66ab9-6573-45d3-800e-fc8ad3692… ↗
metadata API · from rdm inesctec pt
Topics
- Stated by source
- ISE: Industrial and Systems Engineering
- From keywords
- Computer Science & AI · Engineering
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | 03f66ab9-6573-45d3-800e-fc8ad3692b58 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:engineering | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · rdm inesctec pt | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:text | enrichment · rdm inesctec pt | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[topic].ckan_group:rdm_inesctec_pt:ise-industrial-and-systems-engineering | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| created_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| description | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /notes |
| license_text | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| publication_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| title | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /title |
| updated_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 |