Uma proposta de metodologia estatística para desenvolvimento de software preditivo para incidência de aerossaculite na agroindústria de frangos de corte

Abstract

The Brazilian poultry industry stands out as a major producer and occupies the top positions in the world ranking. Regardless of the context, it is the most appropriate according to the security chain, a quality end to guarantee the product, allowing the proper use of contexts to avoid demonstrations and waste the way to avoid demonstrations and waste what can be avoided to avoid the manifestations and reduce the risk of reaching the proper settings. poultry and agribusiness sectors, such as Aerossaciculite. In this work, a study of methods in the area of Data Science and Statistics is proposed, with sequences of test patterns aiming at a better fit of the developed Regression model. This work was developed using a Python programming language and Google Colab development environment. Finally, chicken results were generated that incorporate a broad conception of the proposed problem with the aim of integrating, customizing and meeting the purpose of studying triggers and significant variables variables of the incidence of aerosacculitis in cutting lots.