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Determination of Soya Plant Population Using NDVI in the Dasht-e-Naz Agri-Industry

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  • Hojat Ahmadi
  • Kaveh Mollazade

Abstract

Numerous efforts have been made to develop various indices using remote sensing data such as normalized differencevegetation index (NDVI), and vegetation condition index (VCI) for mapping and monitoring of yield estimating andassessment of vegetation health and productivity. NDVI and other indices that derive from satellite images are valuablesources of information for the estimation and prediction of crop conditions. In the present paper, NDVI data ofDasht-e-Naz in Iran in 2006 have been considered for crop yield assessment and estimating. The results showed thatthere is acceptable relationship between NDVI and Soya plant population. The correlation between NDVI and plantpopulation in high plant population area of field was (R2=0.923) and for low plant population area was (R2=0.249). Thecrop population models were discussed about high and low plant population in the present paper and could improve infuture with the use of long period dataset. Similar model can be developed for different crops of other locations.

Suggested Citation

  • Hojat Ahmadi & Kaveh Mollazade, 2009. "Determination of Soya Plant Population Using NDVI in the Dasht-e-Naz Agri-Industry," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 1(1), pages 112-112, May.
    • Handle: RePEc:ibn:jasjnl:v:1:y:2009:i:1:p:112
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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