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Sustainable Agriculture by Increasing Nitrogen Fertilizer Efficiency Using Low-Resolution Camera Mounted on Unmanned

Dong-Wook Kim1, Tae-Sun Min2, Yoonha Kim3

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|October 17, 2019
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Summary

Low nitrogen use efficiency in agriculture wastes fertilizer and pollutes groundwater. Using the normalized difference vegetation index (NDVI) from drone imagery can effectively monitor crop nitrogen status, enabling precision agriculture.

Keywords:
chlorophyll contentsnear infrarednitrogen fertilizernormalized difference vegetation index (NDVI)

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Area of Science:

  • Agricultural Science
  • Environmental Science
  • Remote Sensing

Background:

  • Modern agriculture suffers from low nitrogen use efficiency, leading to fertilizer waste and environmental pollution.
  • Thin, rocky soils, such as those on Jeju Island, are particularly vulnerable to nitrogen leaching into groundwater.
  • Effective monitoring of crop nitrogen status is crucial for optimizing fertilizer application and minimizing environmental impact.

Purpose of the Study:

  • To investigate the potential of the normalized difference vegetation index (NDVI) for monitoring nitrogen deficiency in buckwheat fields.
  • To assess the feasibility of using low-resolution drone imagery for cost-effective precision agriculture.

Main Methods:

  • Calculated NDVI using data from a low-resolution camera mounted on an unmanned aerial vehicle (UAV).
  • Correlated NDVI values with chlorophyll content, a proxy for nitrogen status in buckwheat.

Main Results:

  • NDVI derived from UAV imagery accurately estimates chlorophyll content in buckwheat.
  • The study demonstrates a strong association between NDVI and crop nitrogen status.

Conclusions:

  • The normalized difference vegetation index (NDVI) is a viable tool for monitoring crop nitrogen status, even with low-resolution imagery.
  • Precision agriculture practices, aimed at reducing groundwater pollution, can be implemented cost-effectively using UAV-based NDVI monitoring.