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Journal of Agronomy
Year: 2015  |  Volume: 14  |  Issue: 2  |  Page No.: 62 - 71

Using GNIR and RNIR Extracted by Digital Images to Detect Different Levels of Nitrogen in Corn

Aline de Carvalho Gasparotto, Marcos Rafael Nanni, Carlos Antonio da Silva Junior, Everson Cesar, Franciele Romagnoli, Anderson Antonio da Silva and Gabriel Cipolaro Guirado    

Abstract: This study aimed to evaluate the use of vegetation indices, GNIR and RNIR extracted from digital images and using a spectroradiometer in the adjustment models for discrimination nitrogen levels in corn, evaluate the contents and their relationship with corn production components. The experiment was established in a greenhouse with a corn plant per pot in DIC with 5 treatments (0, 50, 100, 200 and 300 kg ha-1 of nitrogen) and 10 repetitions. Evaluations were performed at 15, 30, 45, 60 and 80 DAE, with capturing images using the 720 nm-IR filters, 850 nm-IR and UV-IR cut in a digital camera Fujifilm IS Pro and spectroradiometer readings were used the Spring and Excel software to calculate GNIR and RNIR vegetation indices. The GNIR showed higher sensitivity for assessment of nitrogen deficiency in maize. The use of camera appeared as a promising tool for nitrogen discrimination. The use 720 nm filter was higher to 850 nm. The best times to break down the nitrogen doses evaluated by vegetation indices were 60 and 80 DAE.

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