Machine Learning applied to the quality of development in precision farming

Abstract

Precision farming tries to incorporate different systems, tools and digital technologies into livestock processes to help make more accurate decisions. In the present work, the description and the state of the art are carried out through machine learning applied to precision livestock, in addition, the activities and methodologies proposed through machine learning applied to precision livestock are described in order to improve the production and profitability, with sustainability in the national territory for the monitoring and control of animals in their different stages (breeding, fattening or complete cycle).