Vegetation indices are widely used to monitor crop development and generally used as input data in models to forecast yield. The first step of this study consisted of using monthly . We compared the ability of forecasting crop yield based on correlation maps and crop specific masks. We ran a preliminary regression model to test its ability on yield estimation for four municipalities during the soybean growing season. A regression model was developed for both methodologies to forecast soybean crop yield using leave-one-out cross validation.The Root Mean Squared Error (RMSE) values in the implementation of the model ranged from 0.037 t ha −1 to 0.19 t ha −1 using correlation maps, while for crop specific masks, it varied from 0.21 t ha −1 to 0.35 t ha −1 . The model was able to explain 96 % to 98 % of the variance in estimated yield from correlation maps, while it was able to explain only 2 % to 67 % for crop specific mask approach. The results showed that the correlation maps could be used to predict crop yield more effectively than crop specific masks. In addition, this method can provide an indication of soybean yield prior to harvesting.
Preparação de amostras de solo para espectroscopia e seu uso no mapeamento dos parâmetros de fertilidade do solo em áreas cultivadas com cana-de-açúcar. Breno Hiroyuki Higa*, Lucas Rios do Amaral. Resumo A espectroscopia de solos visa diminuir os custos do levantamento de algumas propriedades agrícolas. Porém há incertezas de sua eficácia da quantificação da fertilidade química. Propôs-se neste estudo avaliar diferentes metodologias de preparo de amostra de solo para espectroscopia na região do Vis-NIR, focando a disponibilidade de N, P, K, Ca, Mg e S no solo. As amostras de solo peneiradas em malha 2 mm e secas a 110ºC foi o preparo que obteve melhores resultados.
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