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Spectral measurements of the total aerial N and biomass dry weight in maize using a quadrilateral-view optic

  • Technical University of Munich

Research output: Contribution to journalArticlepeer-review

78 Scopus citations

Abstract

Heterogeneous crop stands require locally adapted nitrogen fertilizer application based on rapid and precise measurements of the local crop nitrogen status. In the present study, we validated a promising technique for the latter, namely a tractor-mounted field spectrometer with an oblique quadrilateral-view measuring optic, measuring solar radiation and canopy reflectance in four directions simultaneously. Dry matter yield (kg ha-1), total N content (g N g-1 dry matter) and total aerial N (aboveground N-uptake) (kg N ha-1) in maize were determined in 10 m2 calibration areas in 60 plots differing in their N treatment and seeding density three times in each of three years under field conditions. Results show that the sensor used can reliably determine total aerial N ranging from as little as 5 kg N to 150 kg N ha-1 with R2-values ≥0.81 in 2002 and 2004, and with R2-values ranging from ≥0.57 to 0.84 in 2003. Dry matter yields from as low as 0.3-4.2 t ha-1 could be determined with R2-values ranging from 0.67 to 0.91 in 2002 to 2004. The capacity to ascertain DM yield spectrally was drastically reduced in the higher yield range (>6 t ha-1) probably due to decreased sensitivity of the spectral signal. N-contents were generally not well determined. Taken together there is a good potential to determine reliably differences in total aerial N or DM yield from the five leaf stages unfolded to the five node stage where typically nitrogen applications are carried out. Weather conditions and zenith angles of up to 30° hardly influenced the results appreciably. We conclude that the tractor-based oblique quadrilateral-view optic reflectance sensor represents a suitable instrument to quickly and non-destructively determine crop nitrogen status and therefore allows for site-specific fertilizer application when coupled with a fertilizer algorithm and variable-rate applicator.

Original languageEnglish
Pages (from-to)94-103
Number of pages10
JournalField Crops Research
Volume106
Issue number1
DOIs
StatePublished - 27 Feb 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Nitrogen content
  • Nitrogen uptake
  • Precision farming
  • Reflectance
  • Sensor
  • Tractor

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