Grey fuzzy prediction model of soil organic matter content using hyper-spectral data

• Published in: Grey systems Vol. 13; no. 2; pp. 357 - 380
• Main Authors: Yu, Jintao, Li, Xican, Cao, Shuang, Liu, Fajun
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Publishing Limited 16.03.2023; Emerald Group Publishing Limited
• Subjects: Accuracy; Content analysis; Correlation; Estimation; Fuzzy sets; Methods; Model accuracy; Model testing; Modelling; Neural networks; Organic matter; Prediction models; Regression analysis; Statistical analysis; Support vector machines; System theory; Uncertainty; Wavelet transforms; Soil organic matter; Estimation factor; Grey fuzzy prediction model; Generalized greyness; Hyper-spectral remote sensing

PurposeIn order to overcome the uncertainty and improve the accuracy of spectral estimation, this paper aims to establish a grey fuzzy prediction model of soil organic matter content by using grey theory and fuzzy theory.Design/methodology/approachBased on the data of 121 soil samples from Zhangqiu...