Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression.

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第一作者： Yawen,Wu

第一单位： Faculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an 223003, China.

作者： Yawen,Wu ^[1] ; Saba J,Al-Jumaili ^[2] ; Dhiya,Al-Jumeily ^[3] ; Haiyi,Bian ^[1]

作者单位： Faculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an 223003, China. ^[1] Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia. ^[2] School of Computer Science and Mathematics, Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 5UX, UK. ^[3]

关键词 artificial neural network image processing predication rice leaves

主题词氮(Nitrogen);最小二乘法分析(Least-Squares Analysis);桡动脉(Radial Artery)

DOI 10.3390/s22228626

PMID 36433222

发布时间 2024-09-08

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准确一般字义偏差语意偏离译文作用小提交