Estimation Model of Potassium Content in Cotton Leaves Based on Wavelet Decomposition Spectra and Image Combination Features

Estimation Model of Potassium Content in Cotton Leaves Based on Wavelet Decomposition Spectra and Image Combination Features

Potassium (K) is one of the most important elements influencing cotton metabolism, quality, and yield. Due to the characteristics of strong fluidity and fast redistribution of the K in plants, it leads to rapid transformation of the K lack or abundance in plant leaves; therefore, rapid and accurate...

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Bibliographic Details
Main Authors: Qiushuang Yao, Ze Zhang, Xin Lv, Xiangyu Chen, Lulu Ma, Cong Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Plant Science
Subjects:
hyperspectral imaging
potassium content in leaves
continuous wavelet transform
gray level co-occurrence matrix
cotton
growth stage
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.920532/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.920532/full

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