O impacto da inteligência artificial na otimização de processos e tomada de decisão na cadeia de produção da agrícola no Brasil: um estudo de caso em empresas do agronegócio

Abstract

This study analyzes the impact of Artificial Intelligence (AI) on process optimization and decision-making in the agricultural production chain in Brazil. Through a literature review and a case study, the main tools, such as machine learning, computer vision, and the Internet of Things (IoT), were explored, as well as their benefits for the productivity, sustainability, and competitiveness of Brazilian agribusiness. The results indicate that AI has the potential to increase efficiency, reduce costs, and promote more sustainable agricultural practices. However, challenges such as the lack of technological infrastructure, high implementation costs, and cultural resistance limit its adoption. The research highlights the importance of investments in rural connectivity, training, and public policies to overcome these barriers and position Brazil as a global leader in the application of AI in agribusiness