Resumen de Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

Laura Melgar García, Maria Teresa Godinho, Rita Espada, David Gutiérrez Avilés, Isabel Sofía Brito, Francisco Martínez-Álvarez, Alicia Troncoso Lara, Cristina Rubio Escudero

• Agriculture has undergone some very important changes over the last few decades. The emergence and evolution of precision agricultura 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.