Segmentation of Agricultural Images using Vegetation Indices

Jean Santos, Jocival Dias Junior, André Backes, Maurício Escarpinati

Abstract

Identifying and segmenting plants from the background in agricultural images is of great importance for precision agriculture. It serves as a basis for several tasks such as identification of planting lines, identification of weed plants, agricultural automation, among others. Given this importance, in this paper, we evaluated the application of five vegetation indices for RGB images together with two binarization techniques for the plant/background segmentation process. The results showed promising performance in all evaluated indices. It was also possible to identify a relationship between the performance obtained in each index and the capture conditions in each dataset.

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Paper Citation


in Harvard Style

Santos J., Dias Junior J., Backes A. and Escarpinati M. (2021). Segmentation of Agricultural Images using Vegetation Indices.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-488-6, pages 506-511. DOI: 10.5220/0010325005060511


in Bibtex Style

@conference{visapp21,
author={Jean Santos and Jocival Dias Junior and André Backes and Maurício Escarpinati},
title={Segmentation of Agricultural Images using Vegetation Indices},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2021},
pages={506-511},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010325005060511},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Segmentation of Agricultural Images using Vegetation Indices
SN - 978-989-758-488-6
AU - Santos J.
AU - Dias Junior J.
AU - Backes A.
AU - Escarpinati M.
PY - 2021
SP - 506
EP - 511
DO - 10.5220/0010325005060511