Ponencia
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
Autor/es | Melgar García, Laura
Godinho, María Teresa Espada, Rita Gutiérrez Avilés, David Brito, Isabel Sofía Martínez Álvarez, Francisco Troncoso Lora, Alicia Rubio Escudero, Cristina |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2020 |
Fecha de depósito | 2022-04-04 |
Publicado en |
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ISBN/ISSN | 978-3-030-57801-5 |
Resumen | Agriculture has undergone some very important changes over
the last few decades. The emergence and evolution of precision agri culture has allowed to move from the uniform site management to the
site-specific management, ... Agriculture has undergone some very important changes over the last few decades. The emergence and evolution of precision agri culture has allowed to move from the uniform site management to the site-specific management, with both economic and environmental advan tages. However, to be implemented effectively, site-specific management requires within-field spatial variability to be well-known and character ized. In this paper, an algorithm that delineates within-field management zones in a maize plantation is introduced. The algorithm, based on tri clustering, mines clusters from temporal remote sensing data. Data from maize crops in Alentejo, Portugal, have been used to assess the suit ability of applying triclustering to discover patterns over time, that may eventually help farmers to improve their harvests. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Fundaçao para a Ciencia e a Tecnología (FCT) |
Identificador del proyecto | TIN2017-88209-C2
UIDB/04561/2020 |
Cita | Melgar García, L., Godinho, M.T., Espada, R., Gutiérrez Avilés, D., Brito, I.S., Martínez Álvarez, F.,...,Rubio Escudero, C. (2020). Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. En SOCO 2020: 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (226-236), Burgos, España: Springer. |
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