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APPLICATION OF AUTOMATIC LEARNING ALGORITHMS TO CLASSIFY THE FERTILITY OF A BANANA SOIL

Abstract:

The research focuses on describing how to integrate machine learning techniques into the management of the banana nutritional cycle. The type of research is correlating and descriptive, detailing the activities that must be carried out in order to ar-ticulate the use of automatic learning in the decision making of the banana producer, using supervised methods, techniques that allowed classifying the study data, selecting to the algorithm of Decision Trees, which correctly classified the information, facilitating the pbkp_rediction of the behavior of soil nutrients, focusing the area that presented variations in nutrients, facilitating decision making to the banana producer and optimization of resources.