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

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Detalles Bibliográficos
Publicado en:	Agriculture vol. 15, no. 14 (2025), p. 1557-1580
Autor Principal:	De Xuehong
Outros autores:	Li, Haoming, Zhang, Jianchao, Li Nanding, Wan Huimeng, Ma, Yanhua
Publicado:	MDPI AG
Materias:	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
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
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