A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass.

According to the results of seed germination indices (Table 4 ), the values of RL, SL, FW and VI showed a trend for gradual increasing with days after anthesis increased.

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For morphological characteristics, the variance explained by LD1 showed an increasing trend with higher nitrogen application, rising from 78.7% in CK to 89.8% in N1 and 93.3% in N2 (Fig. 3 A, B, C).

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