SPATIAL BIG DATA IN THE MANAGEMENT OF SUGAR CANE HARVEST DATA

Abstract

Digital transformation in Cuban agriculture aims to modernize and increase the efficiency of the sector through digital technologies, facing various challenges. A significant advancement is Precision Agriculture (PA), which optimizes production, especially in sugarcane.

This article presents a platform that uses Spatial Big Data to process information from Case IH A8000 harvesters obtained through SMS Ag Leader software. The data is integrated into the Spatial Data Infrastructure (IDE- AZCUBA), facilitating information exchange and informed decisionmaking. The research highlights the importance of these tools in agricultural data management, promoting a more sustainable and collaborative agribusiness.