Validation of model for wheat yield prediction potential using active optical sensor

Authors

  • Daniel Santos Grohs Instituto Rio Grandense do Arroz image/svg+xml
  • Christian Bredemeier Federal University of Rio Grande do Sul image/svg+xml
  • Naracelis Poletto Instituto Federal de Educação, Ciência e Tecnologia Catarinense
  • Claudio Mario Mundstock Instituto Rio Grandense do Arroz image/svg+xml

DOI:

https://doi.org/10.1590/S1678-3921.pab2011.v46.9486

Keywords:

Triticum aestivum, precision agriculture, NDVI, spatial variability

Abstract

The objective of this work was to validate a model based on the normalized difference vegetation index (NDVI) for the prediction of spatial variability of accumulated biomass in shoots and wheat grain yield. Georeferenced readings of NDVI and biomass, at the end of tillering, and of grain yield were carried out. The proposed method allowed relating classes of spatial variability of NDVI and biomass, with 81% of correspondence between them. However, the relation between spatial variability of yield and NDVI was lower, with 48% of correspondence.

Author Biographies

  • Daniel Santos Grohs, Instituto Rio Grandense do Arroz
    http://lattes.cnpq.br/4943327027674064
  • Christian Bredemeier, Federal University of Rio Grande do Sul

    http://lattes.cnpq.br/0364795290228832

  • Naracelis Poletto, Instituto Federal de Educação, Ciência e Tecnologia Catarinense

    http://lattes.cnpq.br/1123568691741819

  • Claudio Mario Mundstock, Instituto Rio Grandense do Arroz
    http://lattes.cnpq.br/7144785228317766

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Published

2011-06-24

Issue

v.46, n.4, abr. 2011

Section

SCIENTIFIC NOTES

How to Cite

Grohs, D. S., Bredemeier, C., Poletto, N., & Mundstock, C. M. (2011). Validation of model for wheat yield prediction potential using active optical sensor. Pesquisa Agropecuaria Brasileira, 46(4), 446-449. https://doi.org/10.1590/S1678-3921.pab2011.v46.9486