Aplicación basada en software para caracterizar los cultivos de papa, arveja y frijol a nivel nacional utilizando un conjunto de datos del MADR y una técnica de aprendizaje automático

Abstract

This project presents a software-based tool that allows the farmer to know the yield of potato, bean and pea crops in the department of Boyacá therefore it will benefit your future crops. The context of the work is framed in the problem of scarce use of technological tools in the agricultural environment and the need to renew the forms used until now by peasants. The solution is to develop a software-based tool to characterize the potato, pea and bean crops at the national level using the Evaluations data set Municipal Agricultural Companies of the Ministry of Agriculture and Rural Development (represented by the MADR) and implementing machine learning techniques (Machine Learning represented by the acronym ML) and predictive analytics to evaluate its behavior and precision.