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

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.225.72.198

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

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