Analysis and Application of Multispectral Image Processing Techniques Applied to Soybean Crops from Drones Vision System

Evelio González, Cristhian Núñez, José Salinas, Jorge Rodas, Mariela Rodas, Enrique Paiva, Yassine Kali, Maarouf Saad, Fernando Lesme, Jose Lesme, Luis Gonzalez, Belen Maldonado, José Rodríguez-Piñeiro

2021

Abstract

Drones are important in precision agriculture applications since they represent a new tool that can increase crop production. In this context, the digital processing of the images obtained from multispectral cameras integrated into the drones makes it possible to analyze the stress state of the crops, their vigor, a burned area, among others. The latter are usually obtained through proprietary applications with very high subscription costs. For this reason, this article presents the step-by-step implementation process of the different methods or algorithms to be applied to multispectral images using the open-source Python programming language. We use a soybean crop as an example of the application, and the results obtained from applying the digital image processing algorithms are presented.

Paper Citation

in Harvard Style

González E., Núñez C., Salinas J., Rodas J., Rodas M., Paiva E., Kali Y., Saad M., Lesme F., Lesme J., Gonzalez L., Maldonado B. and Rodríguez-Piñeiro J. (2021). Analysis and Application of Multispectral Image Processing Techniques Applied to Soybean Crops from Drones Vision System. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-522-7, pages 707-715. DOI: 10.5220/0010615107070715

in Bibtex Style

@conference{icinco21,
author={Evelio González and Cristhian Núñez and José Salinas and Jorge Rodas and Mariela Rodas and Enrique Paiva and Yassine Kali and Maarouf Saad and Fernando Lesme and Jose Lesme and Luis Gonzalez and Belen Maldonado and José Rodríguez-Piñeiro},
title={Analysis and Application of Multispectral Image Processing Techniques Applied to Soybean Crops from Drones Vision System},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2021},
pages={707-715},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010615107070715},
isbn={978-989-758-522-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Analysis and Application of Multispectral Image Processing Techniques Applied to Soybean Crops from Drones Vision System
SN - 978-989-758-522-7
AU - González E.
AU - Núñez C.
AU - Salinas J.
AU - Rodas J.
AU - Rodas M.
AU - Paiva E.
AU - Kali Y.
AU - Saad M.
AU - Lesme F.
AU - Lesme J.
AU - Gonzalez L.
AU - Maldonado B.
AU - Rodríguez-Piñeiro J.
PY - 2021
SP - 707
EP - 715
DO - 10.5220/0010615107070715