Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Estimation of the Potato Growth Information Using Multi-Spectral Image Sensor

멀티 스펙트럴 이미지 센서를 이용한 감자의 생육정보 예측

  • Received : 2011.06.03
  • Accepted : 2011.06.15
  • Published : 2011.06.25
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Abstract

The objective of this research was to establish the estimation method of growth information on potato using Multi-Spectral Image Sensor (MSIS) and Global Positioning System (GPS). And growth estimation map for determining a prescription map over the entire field was generated. To determine the growth model, 10 ground-truth points of areas of $4m^2$ each were selected and investigated. The growth information included stem number, crop height and SPAD value. In addition, images information involving the ground-truth points were also taken by an unmanned helicopter, and reflectance value of Green, Red, and NIR bands were calculated with image processing. Then, growth status of potato was modeled by multi-regression analysis using these reflectance value of Green, Red, and NIR. As a result, potato growth information could be detected by analyzing Green, Red, and NIR images. Stem number, crop height and SPAD value could be estimated with $R^2$ values of 0.600, 0.657 and 0.747 respectively. The generated GIS map would describe variability of the potato growth in a whole field.

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References

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