@inproceedings{f5886636d1274fa9bd4fedae2dbe99fc,
title = "GFkuts: A novel multispectral image segmentation method applied to precision agriculture",
abstract = "Image segmentation enables the precise extraction of several crop traits from multispectral aerial imagery. This paper presents a novel segmentation technique called GFKuts. The method integrates a graph-based optimization algorithm with a k-means Monte Carlo approach. Here, we evaluate the performance of the proposed method against other approaches for image segmentation found in the specialized literature. Results report an improvement on the F1-score accuracy in terms of crop canopy segmentation. These findings are promising for the precise calculation of vegetative indices and other crop trait features.",
keywords = "Multispectral imagery, image segmentation, precision agriculture",
author = "Correa, {Edgar S.} and Francisco Calderon and Colorado, {Julian D.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Virtual Symposium in Plant Omics Sciences, OMICAS 2020 ; Conference date: 23-11-2020 Through 27-11-2020",
year = "2020",
month = nov,
day = "23",
doi = "10.1109/OMICAS52284.2020.9535659",
language = "English",
series = "2020 Virtual Symposium in Plant Omics Sciences, OMICAS 2020 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Julian Colorado",
booktitle = "2020 Virtual Symposium in Plant Omics Sciences, OMICAS 2020 - Conference Proceedings",
address = "United States",
}