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Authors: C. Devia 1 ; J. Rojas 2 ; E. Petro 3 ; C. Martinez 1 ; I. Mondragon 1 ; D. Patino 1 ; C. Rebolledo 4 and J. Colorado 1

Affiliations: 1 School of Engineering, Pontificia Universidad Javeriana, Bogota and Colombia ; 2 School of Engineering, Pontificia Universidad Javeriana, Bogota, Colombia, CIRAD, AGAP-Pam, Montpellier and France ; 3 The International Center for Tropical Agriculture -CIAT, Agrodiversity, Palmira and Colombia ; 4 The International Center for Tropical Agriculture -CIAT, Agrodiversity, Palmira, Colombia, CIRAD, AGAP-Pam, Montpellier and France

Keyword(s): UAV, Precision Agriculture, Image Processing, Vegetative Indices, Multispectral Imagery, Machine Learning.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Modeling, Simulation and Architectures ; Robotics and Automation

Abstract: This paper presents the integration of an UAV for the autonomous monitoring of rice crops. The system integrates image processing and machine learning algorithms to analyze multispectral aerial imagery. Our approach calculates 8 vegetation indices from the images at each stage of rice growth: vegetative, reproductive and ripening. Multivariable regressions and artificial neural networks have been implemented to model the relationship of these vegetation indices against two crop variables: biomass accumulation and leaf nitrogen concentration. Comprehensive experimental tests have been conducted to validate the setup. The results indicate that our system is capable of estimating biomass and nitrogen with an average correlation of 80% and 78% respectively.

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Paper citation in several formats:
Devia, C.; Rojas, J.; Petro, E.; Martinez, C.; Mondragon, I.; Patino, D.; Rebolledo, C. and Colorado, J. (2019). Aerial Monitoring of Rice Crop Variables using an UAV Robotic System. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-380-3; ISSN 2184-2809, SciTePress, pages 97-103. DOI: 10.5220/0007909900970103

@conference{icinco19,
author={C. Devia. and J. Rojas. and E. Petro. and C. Martinez. and I. Mondragon. and D. Patino. and C. Rebolledo. and J. Colorado.},
title={Aerial Monitoring of Rice Crop Variables using an UAV Robotic System},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2019},
pages={97-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007909900970103},
isbn={978-989-758-380-3},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Aerial Monitoring of Rice Crop Variables using an UAV Robotic System
SN - 978-989-758-380-3
IS - 2184-2809
AU - Devia, C.
AU - Rojas, J.
AU - Petro, E.
AU - Martinez, C.
AU - Mondragon, I.
AU - Patino, D.
AU - Rebolledo, C.
AU - Colorado, J.
PY - 2019
SP - 97
EP - 103
DO - 10.5220/0007909900970103
PB - SciTePress

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