Bibliographic citations
Cardoso, L., Escalante, B. (2022). Solución tecnológica para la predicción y análisis de indicadores estadísticos de las intenciones de siembra en una entidad del sector agrario [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/668551
Cardoso, L., Escalante, B. Solución tecnológica para la predicción y análisis de indicadores estadísticos de las intenciones de siembra en una entidad del sector agrario [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/668551
@misc{renati/1799692,
title = "Solución tecnológica para la predicción y análisis de indicadores estadísticos de las intenciones de siembra en una entidad del sector agrario",
author = "Escalante Cancino, Blaise Felix",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
The objective of this project is to implement a technological solution for the prediction and analysis of statistical indicators of planting intentions for decision making in the Ministry of Agriculture and Irrigation (MIDAGRI), regional governments, agricultural producers and the general public. On the one hand, farmers can use previous information to make informed decisions regarding agricultural activity. On the other hand, it will allow the automation of data collection in real time from the National Survey of Planting Intentions (ENIS), making it possible to develop dynamic and intuitive control panels that present accurate information to help analyze plantings for the next agricultural season. Finally, the organization has as it is objective the need to have the information before the execution of the next campaign to make decisions in order to foresee possible supply and price imbalances in the market affecting the population. Therefore, predictive statistical reports will be generated based on the ARIMA predictive model essential to predict the execution of the national sowing survey two months before the results of the statistical indicators of the survey are published at the department, province and district levels.
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