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A light-weight multi-spectral aerial imaging system for nitrogen crop monitoring

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Abstract

Image-based remote sensing is one promising technique for precision crop management. In this study, the use of an ultra light aircraft (ULA) equipped with broadband imaging sensors based on commercial digital cameras was investigated to characterize crop nitrogen status in cases of combined nitrogen and water stress. The acquisition system was composed of two Canon® EOS 400D digital cameras: an original RGB camera measuring luminance in the Red, Green and Blue spectral bands, and a modified camera equipped with an external band-pass filter measuring luminance in the near-infrared. A 5 month experiment was conducted on a sugarcane (Saccharum officinarum) trial consisting of three replicates. In each replicate, two sugarcane cultivars were grown with two levels of water input (rainfed/irrigated) and three levels of nitrogen (0, 65 and 130 kg/ha). Six ULA flights, coupled with ground crop measurements, took place during the experiment. For nitrogen status characterisation, three indices were tested from the closed canopy: the normalised difference vegetation index (NDVI), the green normalised difference vegetation index (GNDVI), and a broadband version of the simple ratio pigment index (hereafter referred to as the SRPIb), calculated from the ratio between blue and red bands of the digital camera. The indices were compared with two nitrogen crop variables: leaf nitrogen content (NL) and canopy nitrogen content (NC). SRPIb showed the best correlation (R 2 = 0.7) with NL, independently of the water and the N treatment. NDVI and GNDVI were best correlated with NC values with correlation coefficients of 0.7 and 0.64 respectively, but the regression coefficients were dependent on the water and N treatment. These results showed that SRPIb could characterise the nitrogen status of sugarcane crop, even in the case of combined stress, and that such acquisition systems are promising for crop nitrogen monitoring.

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Acknowledgments

This work was supported by the French Ministry of Agriculture (AgriDrone project) and the Reunion Region (V. Lebourgeois fellowship). The authors thank Michel Jeanette, Lilian Gauvin, Dany Deurveilher, Ludovic Robert and Emmanuel Hoarau for their assistance with the experimental design and field measurements. We also acknowledge Bruno Roux (L’Avion Jaune) for his help in image acquisition.

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Author notes

  1. V. Lebourgeois

    Present address: CIRAD UMR TETIS, Maison de la Télédétection, 500 rue Jean-François Breton, 34093, Montpellier, France

Authors and Affiliations

  1. CIRAD UPR SCA, Station La Bretagne, 97408, Saint-Denis, La Réunion, France

    V. Lebourgeois & J. F. Martiné

  2. CIRAD UMR TETIS, Maison de la Télédétection, 500 rue Jean-François Breton, 34093, Montpellier, France

    A. Bégué

  3. IRSTEA UMR TETIS, Maison de la Télédétection, 500 rue Jean-François Breton, 34093, Montpellier, France

    S. Labbé

  4. L’Avion Jaune, 1, Chemin du Fescau, 34980, Montferrier-sur-Lez, France

    M. Houlès

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  1. V. Lebourgeois
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Correspondence to V. Lebourgeois.

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Lebourgeois, V., Bégué, A., Labbé, S. et al. A light-weight multi-spectral aerial imaging system for nitrogen crop monitoring. Precision Agric 13, 525–541 (2012). https://doi.org/10.1007/s11119-012-9262-9

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