Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020
EditorsÁlvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
PublisherSpringer Science and Business Media Deutschland GmbH
Pages226-236
Number of pages11
ISBN (Print)9783030578015
DOIs
Publication statusPublished - 2021
Event15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020 - Burgos, Spain
Duration: 16 Sep 202018 Sep 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1268 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020
Country/TerritorySpain
CityBurgos
Period16/09/2018/09/20

Keywords

  • Precision agriculture
  • Remote sensing
  • Spatio-temporal patterns
  • Triclustering

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