Operational Group: Application of data analytics techniques for predicting production in olive groves

The main objective of the Operational Group is the application of data analytics techniques to predict olive grove production, improving the crop's economic profitability and increasing olive growers' participation and market orientation. To this end, large volumes of data on the olive grove's natural resources (soil, climate, variety, etc.) and supplementary resources (irrigation, fertilization, phytosanitary products, etc.) will be analyzed. This will allow for the creation of statistical models of crop behavior and their extrapolation to predictive models that characterize favorable and unfavorable scenarios, thus facilitating prevention through early warning and proper management of crop resources. Based on informed decision-making, oil yield will be optimized at the lowest associated cost.