Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring

P. Rojas Juan; A. Devia Carlos; E. Petro; Carol Martinez; F. Mondragon Ivan; D. Patino; M. Rebolledo; J. Colorado

doi:10.1109/ICUAS.2018.8453283

Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring

P. Rojas Juan
, A. Devia Carlos
, E. Petro
, Carol Martinez
, F. Mondragon Ivan
, D. Patino
, M. Rebolledo
, J. Colorado

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice crops. Unmanned Aerial Vehicles are used to gather multispectral visual information for high-throughput crop monitoring. Geo-referenced digital surface models of the crop are generated based on image mosaicing techniques to allow for the autonomous computation of several vegetative indices. This paper presents the implemented system (hardware and software) and a field report of experiments carried out at different crop growth stages.

Original language	English
Title of host publication	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	846-855
Number of pages	10
ISBN (Print)	9781538613535
DOIs	https://doi.org/10.1109/ICUAS.2018.8453283
State	Published - 31 Aug 2018
Event	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 - Dallas, United States Duration: 12 Jun 2018 → 15 Jun 2018

Publication series

Name	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018

Conference

Conference	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Country/Territory	United States
City	Dallas
Period	12/06/18 → 15/06/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Access to Document

10.1109/ICUAS.2018.8453283

Cite this

Juan, P. R., Carlos, A. D., Petro, E., Martinez, C., Ivan, F. M., Patino, D., Rebolledo, M., & Colorado, J. (2018). Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring. In 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 (pp. 846-855). Article 8453283 (2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUAS.2018.8453283

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title = "Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring",

abstract = "In Colombia up to 40\% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice crops. Unmanned Aerial Vehicles are used to gather multispectral visual information for high-throughput crop monitoring. Geo-referenced digital surface models of the crop are generated based on image mosaicing techniques to allow for the autonomous computation of several vegetative indices. This paper presents the implemented system (hardware and software) and a field report of experiments carried out at different crop growth stages.",

author = "Juan, \{P. Rojas\} and Carlos, \{A. Devia\} and E. Petro and Carol Martinez and Ivan, \{F. Mondragon\} and D. Patino and M. Rebolledo and J. Colorado",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 ; Conference date: 12-06-2018 Through 15-06-2018",

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Juan, PR, Carlos, AD, Petro, E, Martinez, C, Ivan, FM, Patino, D, Rebolledo, M & Colorado, J 2018, Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring. in 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018., 8453283, 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 846-855, 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018, Dallas, United States, 12/06/18. https://doi.org/10.1109/ICUAS.2018.8453283

Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring. / Juan, P. Rojas; Carlos, A. Devia; Petro, E. et al.
2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 846-855 8453283 (2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ivan, F. Mondragon

AU - Patino, D.

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AU - Colorado, J.

PY - 2018/8/31

Y1 - 2018/8/31

N2 - In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice crops. Unmanned Aerial Vehicles are used to gather multispectral visual information for high-throughput crop monitoring. Geo-referenced digital surface models of the crop are generated based on image mosaicing techniques to allow for the autonomous computation of several vegetative indices. This paper presents the implemented system (hardware and software) and a field report of experiments carried out at different crop growth stages.

AB - In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice crops. Unmanned Aerial Vehicles are used to gather multispectral visual information for high-throughput crop monitoring. Geo-referenced digital surface models of the crop are generated based on image mosaicing techniques to allow for the autonomous computation of several vegetative indices. This paper presents the implemented system (hardware and software) and a field report of experiments carried out at different crop growth stages.

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BT - 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018

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ER -

Juan PR, Carlos AD, Petro E, Martinez C, Ivan FM, Patino D et al. Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring. In 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 846-855. 8453283. (2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018). doi: 10.1109/ICUAS.2018.8453283

Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring

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