Information and Communication Technologies (ICT) has provided access to data and information, especially with the advent of the Internet, and this led to changes in society. In this context, this paper aims to demonstrate how data can assist agriculture in control of production, using the data available in government databases. Therefore, we carried out a literature search about the subject and made a data collection on government databases. The completion of the crossing of data using the computation model of artificial neural networks showed that data can aid in the prediction of agricultural production.