Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2913(2022)
Study on Maize Leaf Nitrogen Inversion Model Based on Equivalent Water Thickness Gradient
According to the actual need for rapid and non-destructive testing methods for nitrogen in maize production. Samples were divided according to the equivalent water thickness gradient, and a gradient continuous leaf nitrogen inversion model was established. The influence of water content on leaf reflectance characteristics and the accuracy of the inversion model is preliminarily explored. Firstly, the hyperspectral data of leaf-level are obtained, and then the samples are sorted and sliding divided according to the value of equivalent water thickness, and the subset set is established. In addition to the original spectral data, the parent set also adopts (1) baseline correction; (2) Scattering correction; (3) Smoothing methods, three categories of spectral transformation methods, while subsets do not use any spectral transformation techniques. A full band PLSR inversion model is established, the model accuracy is compared, and the influence of equivalent water thickness on modeling accuracy is preliminarily quantitatively evaluated. The experimental results show that: (1) among the four groups of data, the inversion accuracy of three parent sets is lower than that of the optimal subset, and the other group is the same (2018 field-N: (parent set)
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Xi WANG, Gui-fen CHEN, Li-ying CAO, Li MA. Study on Maize Leaf Nitrogen Inversion Model Based on Equivalent Water Thickness Gradient[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2913
Category: Research Articles
Received: Jul. 17, 2021
Accepted: Oct. 24, 2021
Published Online: Nov. 17, 2022
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