基于光谱反射率的寒地水稻叶片氮含量预测

doi:10.3964/j.issn.1000-0593(2024)09-2582-12

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Abstract In order to realize the real-time prediction of nitrogen content in the rice leaf population by using the rice leaf spectral index, the spectral reflectance of the top three fully expanded leaves (upper 1, upper 2 and upper 3 leaves were recorded as L₁, L₂ and L₃, respectively) at the main growth stages of rice in cold region (T₁ mid-spike differentiation stage, T₂ jointing stage, T₃ booting stage, T₄ full heading stage and T₅ wax ripening stage) under different nitrogen and variety differences in different years were collected. The change rule and the relationship between spectral index and leaf nitrogen content were explored. P-k, Root Mean Square Error (RMSE), Symmetric Mean Absolute Percentage Error (SMAPE), Root Mean Square Error of Calibration (RMSEC), Root Mean Square Error of Interactive Verification (RMSECV) and Residual Prediction Deviation (RPD) were used to verify the accuracy of the model. The results showed that with the increase of nitrogen fertilizer input, the leaf reflectance decreased in the visible region, while the leaf reflectance increased in the near-infrared platform. With the advance of the growth period, in the visible light region, the reflectance of L₁ leaves of different varieties decreased first and then increased, and the reflectance of L₂ and L₃ leaves increased all the time. The sensitive bands of leaf nitrogen percentage were 500~550 and 650~700 nm. The correlation analysis of the spectral index and leaf nitrogen percentage content showed that the correlation coefficient of the spectral index of the following leaves was high in the early stage of growth, but it was the opposite in the later stage of growth. The L₂ leaf index FD-NDNI in the T₁ period, L₂ leaf index GM2 in the T₂ period, L₂ leaf index Lic2 in the T₃ period, L₁ leaf index MRESRI in the T₄ period, and L₁ leaf index Ctr1 in the T₅ period were selected as the best indexes to predict leaf nitrogen content in different periods. The regression equations R² for predicting leaf nitrogen content were 0.54^**, 0.60^**, 0.66^**, 0.62^**, and 0.51^**, respectively, which reached extremely significant levels. The P-k values of the validation indexes were 0.00, 0.04, 0.06, 0.01 and 0.04, respectively. RMSE were 0.39, 0.58, 0.22, 0.54, 2.56, SMAPE were 1.11, 1.41, 1.03, 1.64, 3.89, RMSEC were 0.17, 0.15, 0.13, 0.13, 0.13, RMSECV were 0.18, 0.14, 0.12, 0.12, 0.14, the RPD were 2.46, 2.19, 3.15, 1.74 and 3.01, respectively. Among them, the prediction effect of the L₂ leaf index Lic2 at the T₃ stage was the best. In summary, with the help of the selected spectral indicators, the nitrogen nutrition status of rice at different growth stages can be predicted quickly, non-destructively, and in real-time, and the sustainable development of high-yield and high-quality cold rice can be promoted.

Key words：Rice in cold region; Reflectance; Leaf nitrogen content; Spectroscopic indices; Prediction model

Received: 2023-07-11 Accepted: 2023-11-28

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2024)09-2582-12 OR https://www.gpxygpfx.com/EN/Y2024/V44/I09/2582

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