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Coffee Trees Segmentation in UAV-Acquired Images Using Deep Learning by alya.rizkita is a document available to read on EtoBox.

This document presents an algorithm for the segmentation of coffee trees using UAV-acquired RGB images and the Segmenting Anything Model (SAM) developed by META AI. The study aims to enhance agricultural monitoring and food security by employing deep learning and machine learning techniques to accurately identify and delineate coffee trees, achieving a kappa value of 0.86 and an accuracy of 93%. The methodology includes data acquisition, image segmentation, feature extraction, and supervised classification

Author

alya.rizkita

Language

EN