The dataset contains data from three vineyards of central Portugal: Esac (at Coimbra), Valdoeiro and Quinta de Baixo. The data was acquired with a UAS that had a multispectral sensor and a high-definition camera onboard. The acquired images were used to build orthomosaics and digital surface models (DSM) from the respective plots.

The dataset comprises:

• Mulstispectral (MS) orthomosaics (R,G,B,RE,NIR, and Thermal)
• High-definition (HD) orthomosaics (R,G,D)
• Digital Surface Models (DSM)

Figure 1: Outline of the three vineyards:

For the three vineyards, ground truth masks (pixel-level labels) were generated. The masks include only one class, which identifies vines. However, only the Esac vineyard was completely labeled; the other two orthomosaics were only partially labeled.

Link : 
Orthomosaics
│
├── esac
│   │
│   ├──altum 
│   │   ├── ortho.tif
│   │   └── mask.tif
│   │
│   ├── x7
│   │    ├── ortho.tif
│   │    └── mask.tif
│   │
│   └── dsm.tif
│
│
├── valdoeiro
│   │
│   ├──altum 
│   │   ├── ortho.tif
│   │   └── mask.tif
│   ├── x7
│   │   ├── ortho.tif
│   │   └── (not available)
│   │
│   └── dsm.tif
│
│
└── qtabaixo
    │
    ├──altum 
    │   ├── ortho.tif
    │   └── mask.tif
    │
    ├── x7
    │   ├── ortho.tif
    │   └── (not available)
    │
    └── dsm.tif

Laptop: CUDA Version: 11.3
python 3.7

To run the pipeline proposed in paper.

run:

orthosegmentation.py 

Please send an e-mail to [email protected]

If you use our framework, model, or predictions for any academic work, please cite the original paper.

@article{BARROS2022106782,
title = {Multispectral vineyard segmentation: A deep learning comparison study},
journal = {Computers and Electronics in Agriculture},
volume = {195},
pages = {106782},
year = {2022},
issn = {0168-1699},
doi = {https://doi.org/10.1016/j.compag.2022.106782},
url = {https://www.sciencedirect.com/science/article/pii/S0168169922000990},
author = {T. Barros and P. Conde and G. Gonçalves and C. Premebida and M. Monteiro and C.S.S. Ferreira and U.J. Nunes},
}

Copyright (c) 2021 Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla S.S. Ferreira, Urbano J. Nunes.

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