Andres Sanchez Morchio on Muck Rack

Andres Sanchez Morchio

As seen in: MDPI
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Articles

Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area

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By Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Vineyard Groundcover Biodiversity: Using Deep Learning to Differentiate Cover Crop Communities from Aerial RGB Imagery

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By Isabella Ghiglieno, Girma Tariku, Andres Sanchez Morchio, Celine Birolleau
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 6 November 2024 / Approved: 6 November 2024 / Online: 7 November 2024 (11:24:21 CET) Ghiglieno, I.; Tariku, G.; Sanchez Morchio, A.; Birolleau, C.; Facciano, L.; Gentilin, F.; Mangiapane, S.; Simonetto, A.; Gilioli, G. Vineyard Groundcover Biodiversity: Using Deep Learning to Differentiate Cover Crop Communities from Aerial RGB Imagery. Preprints 2024, 2024110488.
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Semantic Segmentation of Land Covers Using Deep Learning with a Pre-trained Backbone: A Case Study in in the Franciacorta Wine-growing Area

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By Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 26 June 2024 / Approved: 27 June 2024 / Online: 27 June 2024 (12:17:47 CEST) Tariku, G.; Ghiglieno, I.; Morchio, A. S.; Facciano, L.; Birolleau, C.; Simonetto, A.; Serina, I.; Gilioli, G. Semantic Segmentation of Land Covers Using Deep Learning with a Pre-trained Backbone: A Case Study in in the Franciacorta Wine-growing Area. Preprints 2024, 2024061947.
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