Background and Objective: This study proposed the application of the AquaCrop model in special coffee crops.Till now, no studies were found on the application of this model in this specific crop, which is the main contribution of this research study.In this way, the study aims to present the calibration of the variables related to type of crop, soil characteristics and management of special coffee agriculture in the Sierra Nevada of Santa Marta, Colombia.Materials and Methods: The theoretical bases considered for the present study focus on the different calibration methodologies of the AquaCrop model in different types of crops.The methodology used is based on the proposal of estimation, measurement, calculation and collection of the respective data of the model.Specifically, the project analyzed databases of climate, soil, crops and management practices.The researchers used the statistical techniques of ordinary least squares and the completion coefficient to perform the fit of the model.Results: The results of the calibration of AquaCrop for coffee (Coffea arabica) special have a coefficient of determination R 2 of 0.71 which indicates that the model is acceptable.In addition, it established a forecast of productivity with specific agroclimatic conditions.According to the calibrated model, the average temperature is the variable with the highest incidence in coffee productivity.Conclusion: The results presented in this paper contribute to the application of the AquaCrop model in coffee crops in different regions.