Evaluation of the nutritional status of corn by vegetation indices via aerial images

ABSTRACT: The objective of this study is to determine the vegetation indices (IV) as a means identifying nutritional status corn, with respect soil nitrogen and potassium, using aerial images received through an RGB camera loaded on unmanned vehicle. were obtained for experiment levels (0, 60, 120 180 kg ha-1) potassium 50, 100 150 ha-1), in random block design, factorial scheme 4 x 4, having three repetitions. Ten leaves plucked per plot during flowering phase assess total N (NF) K+ leaf contents. Pearson’s correlation analysis, well analyses variance regression between IV concentrations K2O. NF, grain yield, responded only levels. A significant was observed Red Index, Normalized Difference Index Visible Atmospherically Resistant which endorses them favorable standing level. Not even single one evaluated could detect ranking corn context