Results Reliability Verification of UAV Multispectral Imaging Data The images of the UAV were extracted for the reflectance of different brands of spectra according to the plots, as shown in Figure 3 , the spectral reflectance of different fertility periods were all in the range of 450–550-nm band, and the spectral reflectance curves of different regions showed an increasing trend, and the phenomenon of green light wave peak appeared around 550 nm, and this result was more consistent with the results of literature (Fu et al., 2019 ).
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Prediction of Chlorophyll Content in Multi-Temporal Winter Wheat Based on Multispectral and Machine Learning.
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The results showed that the CC values under normal irrigation were higher than those underwater limitation treatment at different fertility stages; several vegetation indices and CC values showed a highly significant correlation, with the highest correlation reaching.51; in the prediction model construction of CC values, different models under normal irrigation and water limitation treatment had high estimation accuracy, among which the model with the highest prediction accuracy under normal irrigation was at the heading stage.
These findings were consistent with the results of this article that the CC values of wheat flag leaves under drought stress showed a decreasing trend.