Data sent subsidizes the creation of a database to support the development of an Harvest Collapse Risk Prediction System in Semi-Arid Agriculture. Such data are essential for the creation, calibration and validation of agro-meteorological models. From the database created, spatial distribution of different types of food crops can be updates.