Title : Use of artificial intelligence in Brazilian agribusiness: Challenges and opportunities
Abstract:
Artificial Intelligence (AI) has been employed to analyze vast volumes of data related to climate, soil, and agricultural practices, enabling producers to make more informed decisions. Predictive modeling tools present opportunities and have assisted in determining the optimal timing for planting and harvesting, as well as identifying the most suitable seed varieties for specific soil and climate conditions. Real-time monitoring also facilitates the identification of pests and deficiencies in cultivars, thereby reducing losses and minimizing the use of inputs. In terms of contributing to climate change adaptation, optimizing the use of water and fertilizers by adjusting irrigation and input application according to the specific needs of each area of cultivation not only improves efficiency but also contributes to the preservation of natural resources. This aspect is increasingly relevant for Brazil, as it elevates sustainability as a priority in a continental country where distances are vast, and logistical infrastructure still faces challenges. One of the main obstacles is access to technology and the internet in rural areas. Many farmers, particularly small and medium-sized ones, require knowledge about AI technologies and their applications, which poses another challenge. It is essential to promote training programs that assist producers in understanding how to utilize AI tools to maximize their benefits, especially since high investment costs limit widespread adoption. With a collective vision, the government, businesses, and farmers are working towards positioning Brazil as a global leader in intelligent and sustainable agribusiness. The AI market within the Brazilian agribusiness sector is expanding, with projections for significant growth. It is estimated that the market for digital technologies in agriculture, including AI, could exceed R$ 100 billion by 2030. The adoption of AI in the field has been growing at an annual rate of 20% to 30%, according to reports from specialized consulting firms. With the advancement of the Internet of Things (IoT) and 5G connectivity, AI is expected to become even more accessible and efficient in agricultural settings. The integration of AI with other technologies, such as blockchain and big data, is anticipated to enhance traceability and sustainability within the production chain. Brazil, being one of the largest exporters of agricultural commodities in the world, possesses immense potential to lead the digital revolution in global agribusiness, with AI playing a central role in this process.
