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- Title
PREDIÇÃO DA PRODUTIVIDADE DE MILHO IRRIGADO COM AUXÍLIO DE IMAGENS DE SATÉLITE.
- Authors
de Oliveira Bertolin, Natalia; Filgueiras, Roberto; Peroni Venancio, Luan; Chartuni Mantovani, Everardo
- Abstract
Corn (Zea mays L.) is one of the main crops in Brazil, it is occupying the second place in planted area and volume of production, it makes the estimate of productivity of this crop, as well of other crops, a necessity in order to measure transport and storage of agricultural crops at farm level and at national level. The usually harvest forecasting procedures are making by field sampling, which is sometimes expensive, inaccurate and labor-intensive, what makes alternative techniques a good option. In this sense remote sensing have been showing techniques with potential for use in agriculture. Thus, the objective of this work was to estimate corn productivity under central pivot irrigation using remote sensing techniques associated with vegetation indices (VI). Images from Landsat-8 of 2013, 2014 and 2015 harvests were used to make the validation of the linear regression model useful and confiable for the 2016 harvest. For the four VI analyzed (NDVI - Index of Vegetation by Normalized Difference, NDWI - Water Index, SAVI - Index of Vegetation Adjusted to Soil and GVI - Index of Green Vegetation), NDVI was only VI to show good correlation with productivity. The coefficient of determination (R²) for NDVI was 0.81, demonstrating its potential to estimate productivity. Thus, the productivity for the 2016 crop was calculated through the NDVI. The estimated productivity showed an average negative difference of 11.95 bu/hectare, underestimating the productivity value observed at 6.32%. This percentage difference was considered satisfactory when it comes to productivity estimation.
- Publication
Revista Brasileira de Agricultura Irrigada - RBAI, 2017, Vol 11, Issue 4, p1627
- ISSN
1982-7679
- Publication type
Article
- DOI
10.7127/rbai.v11n400567