Introduction:

Mathematical crop modeling allows selecting different simulation environments and analyze the response of different variables over time to estimate, predict and potentiate the growth of a crop.

Objective:

To simulate and evaluate a dynamic mathematical model to predict tomato growth and nitrogen content in the plant under greenhouse conditions.

Methodology:

The simulation was performed with the VegSyst model, for which climate variables and greenhouse tomato crop variables were recorded during two cycles, for the evaluation a local sensitivity analysis and non-linear parametric identification were applied.

Results:

The sensitivity analysis allowed identifying the most sensitive parameters of the model and with the parametric identification the values of the parameters were found, which allowed fitting the simulations to the measurements made in the greenhouse.

Limitations of the study:

The VegSyst model only allows simulating nitrogen in the plant. In addition, it is necessary to calibrate the model to the climatic conditions of the site for experiments in other areas.

Originality:

Based on the VegSyst model, equations were proposed and calibrated to estimate height, number of fruits, nodes, dry matter of fruits and dry weight of fruits.

Conclusions:

The model predicts the growth of the tomato crop and the nitrogen content in the plant under greenhouse conditions.

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