Aerial Monitoring of Rice Crop Variables using an UAV Robotic System

C. Devia, J. Rojas, E. Petro, C. Martinez, I. Mondragon, D. Patino, C. Rebolledo, J. Colorado

2019

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.

Paper Citation

in Harvard Style

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, pages 97-103. DOI: 10.5220/0007909900970103

in Bibtex Style

@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},
}

in EndNote Style

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
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