Social Assistive Robots in Coffee Farming: A Privacy Protection Approach
social robot; agriculture 5.0; privacy; coffee farming.
Brazil is one of the world's largest coffee producers, with significant economic contributions from its rural regions. However, the sector faces two critical challenges: the aging of smallholder farmers and the lack of generational succession. As older farmers are compelled to remain active due to the absence of successors, new technological approaches are needed to support their continued work and well-being. Socially Assistive Robots (SARs), provide help through social and physical have shown potential to support elderly users in daily tasks. Despite the social and assistive potential, the literature reveals a lack of research on the use of SARs in agriculture, especially concerning privacy. This study investigates privacy threats associated with the use of SARs in Brazilian coffee farms. We applied a threat modeling approach to identify and analyze risks that may compromise users’ privacy rights as defined by the Brazilian General Data Protection Law (LGPD). The partial results shows the elicitation of privacy requirements.