Abstract

The Brazilian Institute of Geography and Statistics (IBGE) periodically conducts the Census of Agriculture (CA), a massive nationwide operation surveying over five million agricultural establishments across a territory of 8.5 million km². Historically, the CA has evolved through technological innovations, transitioning from paper to electronic questionnaires in 2006 and integrating satellite imagery and GPS tracking in 2017. Despite these advances, field operations still face significant logistical challenges. Traditionally, route planning was left to the enumerators' discretion, leading to unstructured searches with minimal optimization. Furthermore, progress monitoring relied on inaccurate estimates of establishment counts, often resulting in misleading completion ratios. This paper presents a new analytical framework designed to enhance operational performance through geospatial mapping and combinatorial optimization.