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The use of RGB cameras in defining crop development in legumes

Published online by Cambridge University Press:  01 June 2017

I. Travlos ,
A. Mikroulis ,
E. Anastasiou ,
S. Fountas ,
D. Bilalis ,
Z. Tsiropoulos  and
A. Balafoutis
I. Travlos*
Affiliation:
Department of Crop Science, Agricultural University of Athens, 75, IeraOdos str., 11855 Athens, Greece
A. Mikroulis
Affiliation:
Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece
E. Anastasiou
Affiliation:
Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece
S. Fountas
Affiliation:
Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece
D. Bilalis
Affiliation:
Department of Crop Science, Agricultural University of Athens, 75, IeraOdos str., 11855 Athens, Greece
Z. Tsiropoulos
Affiliation:
Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece
A. Balafoutis
Affiliation:
Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece
*
†E-mail: [email protected]
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Abstract

The human population is expected to reach 9 billion by 2050 and thus high yield crop varieties need to be developed. Remote sensing can estimate crop parameters non-destructively and quickly. The aim of this study was to compare and evaluate the use of a commercial RGB camera with an expensive canopy sensor in the crop development of two legumes. The RGB camera based vegetation index (NGRDI) was compared with the canopy sensor derived vegetation indices (NDVI and NDRE) for estimating legume crop growth parameters. The results indicated that the use of a simple digital camera RGB can in some cases replace spectral canopy sensors.

Keywords

NGRDINDVINDRERGB cameraLegumes
Type
Crop Sensors and Sensing
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 224 - 228
Copyright
© The Animal Consortium 2017 

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