Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

Description

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.

Abstract

Ministerio de Economía y Competitividad TIN2017-88209-C2

Abstract

Fundaçao para a Ciéncia e a Tecnologia (FCT) UIDB/04561/2020

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