首页|Researcher's Work from University of Western Macedonia Focuses on Machine Learning (Cherry Tree Crown Extraction Using Machine Learning Based on Images from UAVs)
Researcher's Work from University of Western Macedonia Focuses on Machine Learning (Cherry Tree Crown Extraction Using Machine Learning Based on Images from UAVs)
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New research on artificial intelligence is the subject of a new report. According to news reporting out of Kozani, Greece, by NewsRx editors, research stated, “Remote sensing stands out as one of the most widely used operations in the field. In this research area, UAVs offer full coverage of large cultivation areas in a few minutes and provide orthomosaic images with valuable information based on multispectral cameras.” Funders for this research include European Union’s Horizon Europe Research And Innovation Programme. The news journalists obtained a quote from the research from University of Western Macedonia: “Especially for orchards, it is helpful to isolate each tree and then calculate the preferred vegetation indices separately. Thus, tree detection and crown extraction is another important research area in the domain of Smart Farming. In this paper, we propose an innovative tree detection method based on machine learning, designed to isolate each individual tree in an orchard. First, we evaluate the effectiveness of Detectron2 and YOLOv8 object detection algorithms in identifying individual trees and generating corresponding masks. Both algorithms yield satisfactory results in cherry tree detection, with the best F1-Score up to 94.85%. In the second stage, we apply a method based on OTSU thresholding to improve the provided masks and precisely cover the crowns of the detected trees.”
University of Western MacedoniaKozaniGreeceEuropeCyborgsEmerging TechnologiesMachine Learning
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