Updating and managing historical data

Storage of productivity data and climate information. Cleansing of historical climate data.

Production projection and modeling
(TCH, yield, sucrose, quintals)

Projections of productivity variables taking into account environmental, genetic, management factors, and the productive history of the lots.

Information Display

Visualization templates that allow you to consolidate, classify, and interpret critical variables and indicators for the sector.

Logistics optimization

Simulation of daily sugarcane availability, monthly harvest budget, daily harvest scheduling, and windows of opportunity, considering factors such as climate, soil, genetics, social environment, and availability of logistical resources, and adapting to the conditions and needs of both the field and the industrial plants.

Economic Optimization

Building scenarios for decision-making related to the renewal and continuity of the crop cycle.