Information fusion and machine learning in spatial pbkp_rediction for local agricultural markets

Abstract:

This research explores information fusion and data mining techniques and proposes a methodology to improve pbkp_redictions based on strong associations among agricultural products, which allows pbkp_rediction for future consumption in local markets in the Andean region of Ecuador using spatial pbkp_rediction techniques. This commercial activity is performed using Alternative Marketing Circuits (CIALCO), seeking to establish a direct relationship between producer and consumer prices, and promote buying and selling among family groups.

Año de publicación:

2018

Keywords:

• data fusion
• pbkp_redictive analysis
• Associations mining
• alternative circuits of commercialization

Fuente:

scopus

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