Agricultural simulation models in sugarcane: a review | The Application and advancement of crop simulation models in sugarcane cultivation

English. ABSTRACT Objective: Describe the approach of agricultural simulation models and their potential application in sugarcane in some regions in Mexico. Methodology: A review and classification of scientific articles indexed in the main databases such as SCOPUS, ELSEVIER, related to agricultural and sugarcane simulation models was carried out. Results: A set of scientific articles in relation to the topic of agricultural simulation models for sugarcane was analyzed. Subsequently, a description of the approach and application of the models for this crop and its potential use in some regions of Mexico was developed. Limitations on study: There are few literature related to the application of agricultural simulation models for sugarcane in Mexico in recent years. Conclusions: Crop simulation models are recognized, and widely used, as an indispensable tool in agricultural research. Also, it is important to consider that many of the models use climate information to simulate better results; therefore, true and reliable climate information is necessary to obtain reliable and useful results that can be applied to the relevant agricultural areas. Keywords: agricultural simulation models, sugarcane, yield, APSIM, DSSAT.

Spanish; Castilian. Objective: This study aims to describe the approach of agricultural simulation models and their potentialapplication in sugarcane crops in various regions of Mexico.Methodology: A comprehensive review and classification of scientific articles indexed in major databases, suchas SCOPUS or ELSEVIER, was conducted. The focus was on articles related to agricultural and sugarcanesimulation models.Results: A collection of scientific articles concerning agricultural simulation models for sugarcane crops wasanalyzed. A detailed description of the models’ approaches and application for this crop, along with theirpotential use in certain regions of Mexico was developed.Study Limitations: The literature of the application of agricultural simulation models for sugarcane inMexico in recent years is limited.Conclusions: Crop simulation models are recognized and widely used as indispensable tools in agriculturalresearch. It is crucial to note that many of the models rely on climate information to produce accurate results.Therefore, obtaining reliable and accurate data is essential to achieve trustworthy and useful results applicableto the relevant agricultural areas.