Coffee is one of the most important products for colombianeconomy because it represents 6.9% of our exportations,contributing $2.7 billion dollars to our country each year.Coffee rust is a plague that affects plants leavingdevastating loss in agricultural industry around the world.Coffee industry loses more than 30% of the productionbecause of rust.It is necessary to create a solution to reduce the impact ofthis plague and returning greater profits (or smaller loss) tocolombian coffee industry. We proposed a decision treedata structure which determines if a coffee crop has coffeeleaf rust. A decision tree algorithm learns from the data itanalyzes and it determines the existence of rust with moreease each time you pass it new data.