Journal article

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

M Zaman-Allah, O Vergara, JL Araus, A Tarekegne, C Magorokosho, PJ Zarco-Tejada, A Hornero, A Hernandez Alba, B Das, P Craufurd, M Olsen, BM Prasanna, J Cairns

PLANT METHODS | BMC | Published : 2015

Abstract

BACKGROUND: Recent developments in unmanned aerial platforms (UAP) have provided research opportunities in assessing land allocation and crop physiological traits, including response to abiotic and biotic stresses. UAP-based remote sensing can be used to rapidly and cost-effectively phenotype large numbers of plots and field trials in a dynamic way using time series. This is anticipated to have tremendous implications for progress in crop genetic improvement. RESULTS: We present the use of a UAP equipped with sensors for multispectral imaging in spatial field variability assessment and phenotyping for low-nitrogen (low-N) stress tolerance in maize. Multispectral aerial images were used to (1..

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University of Melbourne Researchers

Grants

Awarded by Spanish Ministerio de Economia y Competitividad


Funding Acknowledgements

This work was supported by CRP-Maize Grant from CIMMYT, funding (AGL2012-40053-C03-01 and AGL2013-44147-R) from the Spanish Ministerio de Economia y Competitividad and the Improved Maize for African Soils (IMAS) project.