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acessibilidade
http://hdl.handle.net/20.500.12207/5920
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DC Field | Value | Language |
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dc.contributor.author | Melgar-Garcia, Laura | - |
dc.contributor.author | Godinho, Teresa | - |
dc.contributor.author | Espada, Rita | - |
dc.contributor.author | Gutíerrez-Avilés, David | - |
dc.contributor.author | Brito, Isabel Sofia | - |
dc.contributor.author | Martínez-Alvarez, Francisco | - |
dc.contributor.author | Trancoso, Alicia | - |
dc.contributor.author | Rubio-Escudero, Cristina | - |
dc.date.accessioned | 2023-10-11T15:20:40Z | - |
dc.date.available | 2023-10-11T15:20:40Z | - |
dc.date.issued | 2020-08 | - |
dc.identifier.citation | L. Melgar-García, M. T. Godinho, R. Espada, D. Gutiérrez-Avilés, I. S. Brito, F. Martínez-Álvarez, A. Troncoso and C. Rubio-Escudero, “Discovering spatio-temporal patterns in precision agriculture based on triclustering,” 2020 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) (pp. 226-236). IEEE, https://doi.org/10.1007/978-3-030-57802-2_22 | por |
dc.identifier.uri | https://hdl.handle.net/20.500.12207/5920 | - |
dc.description.abstract | Agriculture has undergone some very important changes over the last few decades. The emergence and evolution of precision agriculture has allowed to move from the uniform site management to the site-specific management, with both economic and environmental advantages. However, to be implemented effectively, site-specific management requires within-field spatial variability to be well-known and characterized. In this paper, an algorithm that delineates within-field management zones in a maize plantation is introduced. The algorithm, based on triclustering, mines clusters from temporal remote sensing data. Data from maize crops in Alentejo, Portugal, have been used to assess the suitability of applying triclustering to discover patterns over time, that may eventually help farmers to improve their harvests. | por |
dc.language.iso | eng | por |
dc.publisher | Springer, Cham | por |
dc.relation.ispartof | Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0) | por |
dc.rights | openAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | por |
dc.subject | Triclustering | por |
dc.subject | Spatio-temporal patterns | por |
dc.subject | Precision agriculture | por |
dc.subject | Remote sensing | por |
dc.title | Discovering spatio-temporal patterns in precision agriculture based on triclustering | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-030-57802-2_22#citeas | por |
degois.publication.firstPage | 226 | por |
degois.publication.lastPage | 236 | por |
degois.publication.title | International Workshop on Soft Computing Models in Industrial and Environmental Applications | por |
dc.identifier.doi | 10.1007/978-3-030-57802-2_22 | por |
Appears in Collections: | D-ENG - Artigos em revistas indexadas à WoS/Scopus |
Files in This Item:
File | Description | Size | Format | |
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Advances in intelligent systems and computing.pdf | 695.47 kB | Adobe PDF | View/Open | |
Capa_FichaTecnica.pdf | 312.66 kB | Adobe PDF | View/Open |
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