The Sipremo project forecasts and monitors weather events to generate decisions from a climate perspective. In this project, technology is applied to the forestry sector, identifying how climate affects infestations of different pests and how operations throughout Brazil can understand the impact of climate and be more sustainable, while optimizing processes and reducing costs. Thus, through the development of an AI model, operational data is integrated with full-time climate monitoring to predict the incidence of 14 different forest pests. This project brings predictability and provides significant advantages, allowing operations to understand the expected impact in advance and thus direct efforts and resources assertively. In addition, resources and inputs can be applied in a smarter, more economical and less environmentally damaging way.