Citas bibligráficas
Velasquez, F., (2018). Modelo predictivo automatizado para la planificación de la producción de arroz en la Región San Martín [Tesis, Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/2709
Velasquez, F., Modelo predictivo automatizado para la planificación de la producción de arroz en la Región San Martín [Tesis]. PE: Universidad Nacional de San Martín. Fondo Editorial; 2018. http://hdl.handle.net/11458/2709
@misc{renati/1059455,
title = "Modelo predictivo automatizado para la planificación de la producción de arroz en la Región San Martín",
author = "Velasquez Carranza, Fernando",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2018"
}
This research work develops an automated predictive model for the planning of rice production in the San Martín region, for which the historical information on rice production in the San Martín region, from 1990 to the year has been analyzed. 2013. Linear and polynomial regression techniques have been analyzed, taking the latter as a model to predict rice production in a future scenario of 5 years. This is very efficient because it considers the fluctuations of rice production in long-term periods. The objective of this research was to develop an automated predictive model to better plan the production of rice in the San Martin region, since the margin of error in the prediction of rice production is considered too imprecise and inaccurate by the level collaborators. of decision making, of the institutions and organizations that use these indicators to plan and program actions related to agriculture. Finally, it has developed patterns of the automated predictive model from a pre-experiment, to demonstrate that a model based on statistical techniques is much better than empirical or recurrent procedures and background when it comes to obtaining indicators in a future scenario. In addition, the integration of this model in a web environment is presented in a simple scheme.
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