Prediction of the Calorific Value and Moisture Content of Caragana korshinskii Fuel Using Hyperspectral Imaging Technology and Various Stoichiometric Methods

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Veröffentlicht in:	Agriculture vol. 15, no. 14 (2025), p. 1557-1580
1. Verfasser:	De Xuehong
Weitere Verfasser:	Li, Haoming, Zhang, Jianchao, Li Nanding, Wan Huimeng, Ma, Yanhua
Veröffentlicht:	MDPI AG
Schlagworte:	Inner Mongolia China China Mongolia Combustion Mean square errors Software Calorific value Wavelet transforms Solid fuels Algorithms Adaptive sampling Modelling Regression analysis Biomass energy Least squares method Moisture content Machine learning Energy utilization Industrial production Water content Accuracy Quality assessment Calorimetry Preprocessing Genetic algorithms Predictions Production lines Bomb calorimetry Quality control Carbon Neural networks Wavelengths Hyperspectral imaging Caragana korshinskii Economic Caragana Environmental
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