Tree Identification to Calculate the Amount of Palm Trees using Haar-Cascade Classifier Algorithm

Abstract

This study aims to automatically identify and calculate the crown of oil palm trees by utilizing digital image processing. The data of this research were the images of the oil palm tree taken by a drone. The proposed algorithm to identify the oil palm tree was the Haar-Cascade Classifier. The processes to perform the identification process of the oil palm trees were the calculation of the value of an integral image, Haar-like features, Adaboost algorithm, cascade classifier, grayscale and the last is the identification stage of oil palm trees. The result of this study was that the system could identify the oil palm trees using the Haar-Cascade Classifier algorithm to calculate the number of palm trees in a field.