Classificação de Folhas Nativas do Cerrado Usando Aprendizado de Máquina

This work compares 8 machine learning algorithms in terms of their average accuracy in classifying 30 plant species. The classification system has a proprietary implementation and uses leaf photos as input to the classification system. The results show that the Linear Discriminant Analysis algorithm proved to be the most appropriate for this specific problem, reaching an average accuracy of 98.46%.