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Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach

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Progress in Artificial Intelligence (EPIA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12981))

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Abstract

Alto Douro Wine Region is located in the Northeast of Portugal and is classified by UNESCO as a World Heritage Site. Snaked by the Douro River, the region has been producing wines for over 2000 years, with the world-famous Porto wine standing out. The vineyards, in that region, are built in a territory marked by steep slopes and the almost inexistence of flat land and water. The vineyards that cover the great slopes rise from the Douro River and form an immense terraced staircase. All these ingredients combined make the right key for exploring precision agriculture techniques. In this study, a preliminary approach allowing to perform terrace vineyards identification is presented. This is a key-enabling task towards the achievement of important goals such as production estimation and multi-temporal crop evaluation. The proposed methodology consists in the use of Convolutional Neural Networks (CNNs) to classify and segment the terrace vineyards, considering a high-resolution dataset acquired with remote sensing sensors mounted in unmanned aerial vehicles (UAVs).

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Acknowledgments

This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project UIDB/50014/2020.

Author information

Authors and Affiliations

  1. School of Management and Technology, P. Porto, Felgueiras, Portugal

    Nuno Figueiredo

  2. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Nuno Figueiredo, Luís Pádua, Joaquim J. Sousa & António Sousa

  3. INESC Technology and Science (INESC-TEC), Porto, Portugal

    Luís Pádua, Joaquim J. Sousa & António Sousa

Authors
  1. Nuno Figueiredo
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  2. Luís Pádua
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  3. Joaquim J. Sousa
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  4. António Sousa
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Corresponding author

Correspondence to Nuno Figueiredo .

Editor information

Editors and Affiliations

  1. ISEP/GECAD, Polytechnic Institute of Porto, Porto, Portugal

    Goreti Marreiros

  2. IST/INESC-ID, University of Lisbon, Porto Salvo, Portugal

    Francisco S. Melo

  3. DETI/IEETA, University of Aveiro, Aveiro, Portugal

    Nuno Lau

  4. FEUP/LIACC, University of Porto, Porto, Portugal

    Henrique Lopes Cardoso

  5. FEUP/LIACC, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Figueiredo, N., Pádua, L., Sousa, J.J., Sousa, A. (2021). Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach. In: Marreiros, G., Melo, F.S., Lau, N., Lopes Cardoso, H., Reis, L.P. (eds) Progress in Artificial Intelligence. EPIA 2021. Lecture Notes in Computer Science(), vol 12981. Springer, Cham. https://doi.org/10.1007/978-3-030-86230-5_2

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  • DOI: https://doi.org/10.1007/978-3-030-86230-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86229-9

  • Online ISBN: 978-3-030-86230-5

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