Search Results - "Lou, Fangchuan"

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  1. 1

    Predicting leaf nitrogen content of coffee trees using the canopy hyperspectral reflectance feature bands, vegetation index and machine learning by Liu, Xiaogang, Zhang, Shuai, Chen, Shaomin, Tuo, Yunfei, Peng, Kailun, Tan, Shuai, Lou, Fangchuan, Jiang, Tingting, Ma, Xiaodong

    Published in International journal of remote sensing (16-11-2024)
    “…Leaf nitrogen content (LNC) is an essential indicator of crop nitrogen status. To rapidly and correctly estimate the LNC using hyperspectral remote sensing,…”
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    Journal Article
  2. 2

    Prediction of Soil Water Content Based on Hyperspectral Reflectance Combined with Competitive Adaptive Reweighted Sampling and Random Frog Feature Extraction and the Back-Propagation Artificial Neural Network Method by Chen, Shaomin, Lou, Fangchuan, Tuo, Yunfei, Tan, Shuai, Peng, Kailun, Zhang, Shuai, Wang, Quanjiu

    Published in Water (Basel) (01-08-2023)
    “…The soil water content (SWC) is a critical factor in agricultural production. To achieve real-time and nondestructive monitoring of the SWC, an experiment was…”
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    Journal Article
  3. 3

    Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine by Chen, Shaomin, Gao, Jiachen, Lou, Fangchuan, Tuo, Yunfei, Tan, Shuai, Shan, Yuyang, Luo, Lihua, Xu, Zhilin, Zhang, Zhengfu, Huang, Xiangyu

    Published in PeerJ (San Francisco, CA) (22-08-2024)
    “…Soil water content is one of the critical indicators in agricultural systems. Visible/near-infrared hyperspectral remote sensing is an effective method for…”
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    Journal Article