Examinando por Autor "González Guerrero, Enrique"
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- PublicaciónAcceso abiertoAG-CASU : An algorithm to generate irrigation parameters and crop management strategies for the aquacrop model(2019-05) Pertuz Peralta, Vanessa Paola; Pérez Orozco, Adith Bismarck; Maestre Pérez, Jesus David; Ortiz Iglesias, María Isabel; González Guerrero, EnriqueThis paper presents an algorithm to generate the irrigation policies and crop management configuration files for the agroclimatic risk model AquaCrop. The software determines the parameters to be modified by a stochastic method. The AG-CASU algorithm takes account of the limits determined for each variable. The algorithm can be configured to determine the number of scenarios, the number of simulations, the feasibility of each of the parameters, the initial seed file and the compliance with the AquaCrop agroclimatic risk model. In general, the agroclimatic risk models use data and information referring to climate, soil composition, temperature, rainfall, availability of water resources and characteristics of the crops to estimate the productivity of a given crop. The genetic algorithm for calculating fitnness is connected to the AquaCrop simulator, which, given a set of parameters that represent an irrigation policy, generates an estimate of biomass productivity. The algorithm was validated through a case study in special coffee crops of the Sierra Nevada de Santa Marta, Colombia. The proposed algorithm automatically obtains the files corresponding to irrigation policies and cultivation strategies of the AquaCrop model, with coverage of the domain of the variables and with compliance to the AquaCrop software.
- PublicaciónAcceso abiertoCalibration of the aquacrop model in special coffee (Coffea Arabica) crops in the Sierra Nevada of Santa Marta, Colombia(2018) Vega Molina, Adriana Lorena; Pertuz Peralta, Vanessa Paola; Pérez Orozco, Adith Bismarck; Ortiz Iglesias, María Isabel; González Guerrero, EnriqueBackground 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 R2 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.