Figure 2 | Scientific Reports

Figure 2

From: Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor

Figure 2The alternative text for this image may have been generated using AI.

Validation results of nitrogen nutrition index (NNI) for two different mechanistic nitrogen status diagnostic approaches (NNI-PNC in a, b and c; NNI-PNU in d,e and f) using the optimal estimation model of NDVI (a,d), NDVI&NDRE (b,e) and the top vegetation indices (VIs) (c,f) for specific stages across sites, cultivars, stages and years. NDVI&NDRE is using the optimal estimation model of specific stages of NDVI and NDRE to estimate aboveground biomass (AGB) and plant nitrogen concentration (PNC) or plant nitrogen uptake (PNU), respectively. The top VIs are using all of the top vegetation indices in Fig. 1 to estimate AGB, PNC and PNU at specific stages, respectively. Black lines indicate the regression line and red dotted lines indicate the 1:1 lines. The data in three color areas indicate correctly diagnosed rice nitrogen status: yellow (N deficient), green (N optimal), blue (N surplus).

Back to article page