Artificial intelligence in agriculture has a high impact in areas that are currently based on non-scalable techniques for transforming data into information for business management.

From AI solutions, it is possible to transform unstructured information (images, audio and data) into inputs that, when evaluated together, increase the accuracy of indicators in the agribusiness chain, such as crop conditions, weather forecasts and issues production and industry logistics.

In a practical way, managers can already count on an integrated view of market vs. market values, production cost, and can make decisions that impact their costs considering multiple scenarios, instead of following only isolated aspects.