Research Article
Predicting Winter Wheat Grain Yield Using Fractional Green Canopy Cover (FGCC)
Figure 4
Model depicting the predicted yields using sensor readings plotted against actual yield. These points were developed from the FGCC readings (a), FGCC yield prediction without the RI adjustment (b), and FGCC with the new RI adjustment (c), and the NDVI from the same dataset (d). As expected, RISensor caused inaccuracies with yield prediction. Removing the RI adjustment pulled those values closer to 1 : 1 but was still not enough to be considered accurate. Adjusting RISensor with the new RI adjustment caused those values to become similar in accuracy as the NDVI derived yield prediction, with a couple of outliers, coming from locations with very high RISensor values.
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