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Optimization algorithms for multivariate sampling reduction using spatial-temporal data

Tamara Cantú Maltauro ORCID logo , Luciana Pagliosa Carvalho Guedes ORCID logo , Miguel Angel Uribe-Opazo ORCID logo

31/Jul/2025

ABSTRACT Knowing and defining the spatial and temporal variability of soil chemical properties becomes important for soil management. The definition of application zones in agricultural areas consists of dividing the area into homogeneous subareas, thus allowing the development of localized management. These zones can be defined by cluster methods and one of their advantages is to direct the determination of a future soil sampling, with a possible sample reduction. This study aimed to propose a methodology that integrates multivariate and […]

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