PREDIC I Operational Group

Develop efficient solutions that, based on information from different sources and with distinct spatiotemporal characteristics, allow, on the one hand, the development of predictive algorithms for key elements of agricultural operations and, on the other hand, extract hidden knowledge from the data that cannot be extracted through direct analysis of the information.

Thus, the project's goal is to generate knowledge from the acquired data and develop predictive models that will be useful for improving farm management by optimizing resources. Feedback from the system with information from new campaigns will allow for the generation of increasingly efficient predictive models that are better tailored to each area under study.