A transformação digital no agronegócio brasileiro: estudo de caso da implementação de uma solução de internet das coisas em sistema Compost Barn

Abstract

Brazil, a global leader in food production, is consolidating itself as a protagonist in sustainable food production. The country achieved this status based on its agricultural culture, strong sense of leadership and protagonism in global agriculture. To maintain it, it is essential to lead technological innovations. Technological evolution plays a crucial role in this search, highlighting the Internet of Things (IoT) and Artificial Intelligence (AI) as drivers of efficiency and productivity, especially in agriculture. This study focuses on collecting and integrating data from IoT sensors installed indoors, known as Compost Barn, widely used in global dairy farming. The objective is to obtain real-time data with high precision to optimize the management of this production system. IoT devices collect a wide range of environmental data such as temperature, humidity, brightness, as well as information about the bed environment including temperature, humidity and pH. This data is processed and transmitted via Wi-Fi for analysis on a dashboard, allowing the creation of indicators, such as Overall Equipment Effectiveness (OEE) and Temperature and Humidity Index (THI). This helps producers identify areas improvement to increase operational efficiency. In addition to contributing to academic research, this study is relevant in the rural business context, offering alternatives to improve the management of milk production. It represents a first step towards microclimate prediction, combining data collected with Artificial Intelligence technologies, providing new insights to improve productivity and sustainability in dairy farming.