Comparison of two methods for monitoring leaf total chlorophyll content (LTCC) of wheat using field spectrometer data
2013
Jin, X | Diao, W | Xiao, C | Wang, F | Chen, B | Wang, K | Li, S
Leaf total chlorophyll content (LTCC) provides valuable information about the physiological status of crops. LTCC could potentially be rapidly and non-destructively estimated via remote sensing. The objective of this experiment was to develop precise agricultural practices for predicting the LTCC of wheat. In this study, we compared certain spectral indices using the determination coefficient (R ²), and then combined these indices using stepwise regression methods (SRM) or partial least squares (PLS). We obtained a new index that was more effective at predicting LTCC by SRM than the most effective individual indices were: 3.575Red edge Model–1.118PSSRb. Results showed that for LTCC = 3.575Red edge Model–1.118PSSRb, the R ² value was 0.87, and the corresponding root mean square error (RMSE) was 0.38 g/m². We used the PLS to estimate LTCC, and gained an R ² value of 0.92 and RMSE of 0.31 g/m². The results showed that PLS was better than SRM; these results indicated two methods could be used to improve the estimation accuracy of LTCC.
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