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

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....

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Main Authors: Rojas, Juan P., Devia, Carlos Andres, Petro, Eliel E., Martínez, Carol, Mondragon, Iván Fernando, Patino, D., Rebolledo, María Camila, Colorado, J.
Format: Conference Paper
Language:Inglés
Published: Institute of Electrical and Electronics Engineers 2018
Subjects:
Online Access:https://hdl.handle.net/10568/97430
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author Rojas, Juan P.
Devia, Carlos Andres
Petro, Eliel E.
Martínez, Carol
Mondragon, Iván Fernando
Patino, D.
Rebolledo, María Camila
Colorado, J.
author_browse Colorado, J.
Devia, Carlos Andres
Martínez, Carol
Mondragon, Iván Fernando
Patino, D.
Petro, Eliel E.
Rebolledo, María Camila
Rojas, Juan P.
author_facet Rojas, Juan P.
Devia, Carlos Andres
Petro, Eliel E.
Martínez, Carol
Mondragon, Iván Fernando
Patino, D.
Rebolledo, María Camila
Colorado, J.
author_sort Rojas, Juan P.
collection Repository of Agricultural Research Outputs (CGSpace)
description 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.
format Conference Paper
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institution CGIAR Consortium
language Inglés
publishDate 2018
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publisherStr Institute of Electrical and Electronics Engineers
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spelling CGSpace974302025-03-13T09:44:05Z Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring Rojas, Juan P. Devia, Carlos Andres Petro, Eliel E. Martínez, Carol Mondragon, Iván Fernando Patino, D. Rebolledo, María Camila Colorado, J. rice monitoring mapping agriculture hardware software sensors cameras 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. 2018-06 2018-09-17T16:45:47Z 2018-09-17T16:45:47Z Conference Paper https://hdl.handle.net/10568/97430 en Limited Access Institute of Electrical and Electronics Engineers J. Rojas, C. Devia, E. Petro, C. Martinez, I. Mondragon, D. Patino, C. Rebolledo, J. Colorado. 2018. Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring. International Conference on Unmanned Aircraft Systems -ICUAS’18, Dallas, TX, USA. Jun 12-15.
spellingShingle rice
monitoring
mapping
agriculture
hardware
software
sensors
cameras
Rojas, Juan P.
Devia, Carlos Andres
Petro, Eliel E.
Martínez, Carol
Mondragon, Iván Fernando
Patino, D.
Rebolledo, María Camila
Colorado, J.
Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
title Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
title_full Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
title_fullStr Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
title_full_unstemmed Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
title_short Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
title_sort aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring
topic rice
monitoring
mapping
agriculture
hardware
software
sensors
cameras
url https://hdl.handle.net/10568/97430
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