As water scarcity intensifies, precision irrigation management relies heavily on accurate estimations of crop water requirements. This applied case offers a deep dive into modeling crop evapotranspiration using the standardized FAO-56 Dual Crop Coefficient methodology, implemented programmatically through Python.

Using a real-world case study of olive cultivation (Olea europaea) in the hyper-arid coastal desert of Bella Unión (Arequipa, Peru), we will demonstrate how to build an end-to-end hydrological data pipeline. Participants will learn how to integrate spatial data, process satellite-derived and weather station climate parameters, define soil-water-crop constraints, and simulate complex deficit drip-irrigation schedules.

Whether you are an agronomist, hydrologist, data scientist, or irrigation engineer, this session will equip you with the open-source tools required to automate water budget analysis from daily scales to monthly strategic planning.

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