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

Pontificia Universidad Javeriana
AGAP-Pam
Centro Internacional de Agricultura Tropical

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

5 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	846-855
Número de páginas	10
ISBN (versión impresa)	9781538613535
DOI	https://doi.org/10.1109/ICUAS.2018.8453283
Estado	Publicada - 31 ago. 2018
Evento	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 - Dallas, Estados Unidos Duración: 12 jun. 2018 → 15 jun. 2018

Serie de la publicación

Nombre	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018

Conferencia

Conferencia	2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
País/Territorio	Estados Unidos
Ciudad	Dallas
Período	12/06/18 → 15/06/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 13: Acción por el clima

Acceder al documento

10.1109/ICUAS.2018.8453283

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

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. En 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 (pp. 846-855). Artículo 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

@inproceedings{9eb4de2a74b44848b7990856982162f8,

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",

year = "2018",

month = aug,

day = "31",

doi = "10.1109/ICUAS.2018.8453283",

language = "English",

isbn = "9781538613535",

series = "2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "846--855",

booktitle = "2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018",

address = "United States",

}

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. En 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, Estados Unidos, 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).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring

AU - Juan, P. Rojas

AU - Carlos, A. Devia

AU - Petro, E.

AU - Martinez, Carol

AU - Ivan, F. Mondragon

AU - Patino, D.

AU - Rebolledo, M.

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.

UR - https://www.scopus.com/pages/publications/85053877667

U2 - 10.1109/ICUAS.2018.8453283

DO - 10.1109/ICUAS.2018.8453283

M3 - Conference contribution

AN - SCOPUS:85053877667

SN - 9781538613535

T3 - 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018

SP - 846

EP - 855

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018

Y2 - 12 June 2018 through 15 June 2018

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. En 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

Resumen

Serie de la publicación

Conferencia

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto