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

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Paper

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

Topics: Drones and Internet of Things for Surveillance; Engineering Applications; Image Processing

In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics ICINCO - Volume 1, 707-715, 2021

Authors: Evelio González ¹ ; Cristhian Núñez ¹ ; José Salinas ² ; Jorge Rodas ³ ; Mariela Rodas ⁴ ; Enrique Paiva ³ ; Yassine Kali ⁵ ; Maarouf Saad ⁵ ; Fernando Lesme ¹ ; Jose Lesme ¹ ; Luis Gonzalez ¹ ; Belen Maldonado ¹ and José Rodríguez-Piñeiro ⁶

Affiliations: ¹ Unidad Pedagógica de Caacupé, Universidad Católica Nuestra Señora de la Asunción, Caacupé, Paraguay ; ² TECHA, Caacupé, Paraguay ; ³ Laboratory of Power and Control Systems, Facultad de Ingeniería, Universidad Nacional de Asunción, Luque, Paraguay ; ⁴ Instituto Paraguayo de Tecnología Agraria, Caacupé, Paraguay ; ⁵ GRÉPCI Laboratory, École de Technologie Supérieure, Montreal, Canada ; ⁶ College of Electronics and Information Engineering, Tongji University, Shanghái, China

Keyword(s): Drones, Multispectral Imaging, Digital Signal Processing, Precision Agriculture.

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.

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Paper citation in several formats:

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 - ICINCO; ISBN 978-989-758-522-7; ISSN 2184-2809, SciTePress, pages 707-715. DOI: 10.5220/0010615107070715

@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 - ICINCO},
year={2021},
pages={707-715},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010615107070715},
isbn={978-989-758-522-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - Analysis and Application of Multispectral Image Processing Techniques Applied to Soybean Crops from Drones Vision System
SN - 978-989-758-522-7
IS - 2184-2809
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
PB - SciTePress