Assistente inteligente para gestão agrícola por meio de chatbot integrado ao whatsapp com inteligência artificial no monitoramento de lavouras de café

Abstract

Contemporary agriculture faces the challenge of producing more food with fewer resources, balancing productive efficiency, environmental sustainability, and economic competitiveness. In this context, data-driven management becomes essential to support strategic and operational decision-making in the field. This study proposes and evaluates the use of an artificial intelligence–based conversational agent, integrated with WhatsApp, as a solution to centralize and interpret agricultural information. The developed system organizes climatic, financial, strategic, and operational data, providing accessible and personalized recommendations for farmers, with emphasis on coffee cultivation. The research is situated within the context of smart agriculture, aligned with the principles of Agriculture 5.0, exploring the potential of the Internet of Things (IoT) and artificial intelligence to promote more efficient, sustainable, and data-driven agricultural practices. The results obtained indicate strengthened autonomy of small and medium-sized producers, reduced waste, more rational use of inputs, and improved agricultural productivity.