A BIBLIOGRAPHIC REVIEW APPROACH ON THE USE OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE

Abstract

Currently, much has been discussed about the use of artificial intelligence in various areas of knowledge, such as economics, medicine, engineering, industry, and also in different segments of agribusiness. In the agricultural context, this technology is present from the machinery used in the field, which is increasingly automated and intelligent, to systems and software aimed at the management of rural properties. It is observed, therefore, that the advancement of machine learning and other artificial intelligence tools has been significantly contributing to the transformation and modernization of the agricultural sector. These technologies enable greater efficiency in production, better decision-making, optimization of the use of natural resources, and increased productivity. As a result, they further strengthen the relevance of agriculture within the Brazilian economy, a sector that plays a fundamental role in the country's economic growth. In this context, the present study aimed to carry out a bibliographic review on the application of artificial intelligence in agriculture, seeking to identify its main applications, benefits, and contributions to development and innovation in the agricultural sector.