Hyperspectral Estimation Methods for Chlorophyll Content of Apple Based on Random Forest

文献类型： 外文期刊

第一作者： Pei, Haojie

作者： Pei, Haojie;Feng, Haikuan;Yang, Guijun;Liu, Mingxing;Wu, Zhichao;Pei, Haojie;Feng, Haikuan;Yang, Guijun;Liu, Mingxing;Wu, Zhichao;Pei, Haojie;Feng, Haikuan;Yang, Guijun;Liu, Mingxing;Wu, Zhichao;Pei, Haojie;Feng, Haikuan;Yang, Guijun;Liu, Mingxing;Wu, Zhichao;Pei, Haojie;Li, Changchun;Liu, Mingxing;Wu, Zhichao

作者机构：

关键词： Apple leaf; Hyperspectral; Chlorophyll; RF

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, CCTA 2017, PT II

ISSN： 1868-4238

年卷期： 2019 年 546 卷

页码：

收录情况： SCI

摘要： Chlorophyll content is a good indicator of fruit tree nutrition stress, photosynthesis, and another physiological state. 10 vegetation indices were selected and used as input variables of RF model, the number of input variables was gradually increased from 1 to 10. The modeling accuracy of 10 RF models with vegetation indices was compared. Finally, the accuracy of 2 estimation models, the RF model with the original spectrum, and the RF optimal model with vegetation indices were established and compared. The result, For modeling accuracy of 2 models, the R-2 of four models are 0.527 and 0.609, and the RMSE of 2 models are 8.728 and 7.930 mu g/cm(2), respectively. For validation accuracy of 2 models, R-2 of 2 models is 0.411 and 0.843, RMSE is 14.455 and 11.034 mu g/cm(2), respectively. The result showed, (1) the accuracy of RF model with vegetation indices is higher than the other model. (2) The RF model with vegetation indices can estimate the chlorophyll content of apple leaves more accurately and it had the potential for estimating chlorophyll content of apple leaf. And it provides a new method for the accurate estimation of chlorophyll of apple leaves.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序