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

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

Content Provider	Springer Nature Link
Author	Lebourgeois, V. Bégué, A. Labbé, S. Houlès, M. Martiné, J. F.
Copyright Year	2012
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 SRPI$_{b}$), 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 (N$_{L}$) and canopy nitrogen content (N$_{C}$). SRPI$_{b}$ showed the best correlation (R $^{2}$ = 0.7) with N$_{L}$, independently of the water and the N treatment. NDVI and GNDVI were best correlated with N$_{C}$ 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 SRPI$_{b}$ 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.
Starting Page	525
Ending Page	541
Page Count	17
File Format	PDF
ISSN	13852256
Journal	Precision Agriculture
Volume Number	13
Issue Number	5
e-ISSN	15731618
Language	English
Publisher	Springer US
Publisher Date	2012-04-13
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Ultra light aircraft Sugarcane Digital camera Spectral index Nitrogen SPAD chlorophyll meter Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Remote Sensing/Photogrammetry Agriculture Soil Science & Conservation Meteorology/Climatology
Content Type	Text
Resource Type	Article
Subject	Agricultural and Biological Sciences

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