Agrupamiento de productos agrícolas mediante el análisis de plagas y enfermedades como metodología para facilitar la gestión de insumos.

Abstract

The objective of the present work proposes a methodology for inputs identifications in agricultural production resource planning, by clustering different products grown in a specific region, based on the of the similarity coefficient estimation (for pests and diseases). The methodology was applied in Santander Colombia, with its specific food products, as from the similarity coefficient the clustering of the products is performed. This clustering allows affirm natural relations between some crops, as well as to propose new families of products (not so obvious) which turn in the identification of input requirements for mixed production models.