<b>Grain crops yield estimate and management zones delineation through multispectral aerial videography</b> - DOI: 10.4025/actasciagron.v27i3.1406

  • João Célio de Araújo EAFI
  • Carlos Alberto Vettorazzi ESAQL - USP
  • José Paulo Molin ESALQ - USP

Abstract

Remote sensing has been investigated the generation of spatial variability maps in agriculture as a possible alternative. The objective of this work was to evaluate multispectral aerial digital videographic images, regarding their potential in the grain crops yield estimate and in the delineation of management zones. Yield maps were also used. They refer to the two study areas, cultivated with wheat, in the winter of 2001, and with soybean, in the summer of 2002. The images were geometrically rectified and radiometrically normalized. Simple linear regression was also performed between images and yield maps, pixel-to-pixel, with very different results for the two areas. The same happened when the degree of agreement between crops yield and image data was analyzed through the Kappa Index. Aerial multispectral videography has a good potential in the delineation of management zones in areas with large spatial variability.

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Author Biography

João Célio de Araújo, EAFI
Possui graduação em Agronomia pela Universidade do Estado de Santa Catarina (1995), mestrado e doutorado pela Universidade de São Paulo (2004). Atualmente é professor da Escola Federal de Inconfidentes. Tem experiência nas área de Agronomia, com ênfase em Máquinas e Implementos Agrícolas, Irrigação, Topografia e Geoprocessamento, atuando principalmente nos seguintes temas: Agricultura de Precisão, Sensoriamento Remoto, SIG, Topografia e Máquinas Agrícolas Currículo Lattes
Published
2008-03-27
How to Cite
Araújo, J. C. de, Vettorazzi, C. A., & Molin, J. P. (2008). <b>Grain crops yield estimate and management zones delineation through multispectral aerial videography</b&gt; - DOI: 10.4025/actasciagron.v27i3.1406. Acta Scientiarum. Agronomy, 27(3), 437-447. https://doi.org/10.4025/actasciagron.v27i3.1406
Section
Crop Production

 

2.0
2019CiteScore
 
 
60th percentile
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2.0
2019CiteScore
 
 
60th percentile
Powered by  Scopus