Grapevine Bunches Dataset. This dataset was collected from a vineyard at Campus de Vairão located in Vairão, Vila do Conde, Portugal, on two different days: July 21 and August 11, 2022. The images were taken with a Xiaomi Redmi Note 7 smartphone with the following dual camera specs: 48 MP, f/1.8, (wide), 1/2.0", 0.8µm, PDAF and 5 MP, f/2.2, (depth). The dataset includes images of the following grapevine varieties: Barroca, Cabernet Sauvignon, Touriga Nacional, Tinta Roriz, Trajadura and Viozinho
Vineyard yield estimation can bring several benefits to all the grape and wine production chain. Amo...
[Background and Aims] Canopy assessment of the fruiting zone can lead to more informed vineyard mana...
Grape yield forecasting is a valuable economic and quality issue for the grape and wine industry. Th...
A new RGB images dataset of grapevine inflorescences was collected throughout three grapevine phenol...
This dataset contains images of red bunches of grapes in the vineyard. The grapes are in an advanced...
The AI4Agriculture Grape Dataset is a collection of 250 images taken in a vineyard in Ribera de Duer...
Type of dataImages , Specific subject area: Computer Vision, Pattern Recognition, machine learning, ...
National and international Vitis variety catalogues can be used as image datasets for computer visio...
This dataset captures the leaf shape of over 9,500 leaves from wine and table grape varieties (Vitis...
National and international Vitis variety catalogues can be used as image datasets for computer visio...
There are four different RGB and RGB-D image datasets of grape clusters created in Indian vineyards ...
The evaluation of phenotypic characters of grape-vines is required directly in vineyards and is stro...
Data includes 531 annotated images of grapevines roots which were acquired from 40 tubes across a ra...
This dataset comprises a comprehensive mapping of vine yield at the plant scale over two vine fields...
Images of grapevine bunches with 720x540 pixels resolution and respective annotation under the YOLO ...
Vineyard yield estimation can bring several benefits to all the grape and wine production chain. Amo...
[Background and Aims] Canopy assessment of the fruiting zone can lead to more informed vineyard mana...
Grape yield forecasting is a valuable economic and quality issue for the grape and wine industry. Th...
A new RGB images dataset of grapevine inflorescences was collected throughout three grapevine phenol...
This dataset contains images of red bunches of grapes in the vineyard. The grapes are in an advanced...
The AI4Agriculture Grape Dataset is a collection of 250 images taken in a vineyard in Ribera de Duer...
Type of dataImages , Specific subject area: Computer Vision, Pattern Recognition, machine learning, ...
National and international Vitis variety catalogues can be used as image datasets for computer visio...
This dataset captures the leaf shape of over 9,500 leaves from wine and table grape varieties (Vitis...
National and international Vitis variety catalogues can be used as image datasets for computer visio...
There are four different RGB and RGB-D image datasets of grape clusters created in Indian vineyards ...
The evaluation of phenotypic characters of grape-vines is required directly in vineyards and is stro...
Data includes 531 annotated images of grapevines roots which were acquired from 40 tubes across a ra...
This dataset comprises a comprehensive mapping of vine yield at the plant scale over two vine fields...
Images of grapevine bunches with 720x540 pixels resolution and respective annotation under the YOLO ...
Vineyard yield estimation can bring several benefits to all the grape and wine production chain. Amo...
[Background and Aims] Canopy assessment of the fruiting zone can lead to more informed vineyard mana...
Grape yield forecasting is a valuable economic and quality issue for the grape and wine industry. Th...