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

Hojat Ahmadi and Kaveh Mollazade

Journal of Agricultural Science, 2009, vol. 1, issue 1, 112

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.

Date: 2009
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/jas/article/download/1426/2197 (application/pdf)
https://ccsenet.org/journal/index.php/jas/article/view/1426 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:jasjnl:v:1:y:2009:i:1:p:112

Access Statistics for this article

More articles in Journal of Agricultural Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().