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

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Detaylı Bibliyografya
Yayımlandı:	Agriculture vol. 15, no. 14 (2025), p. 1557-1580
Yazar:	De Xuehong
Diğer Yazarlar:	Li, Haoming, Zhang, Jianchao, Li Nanding, Wan Huimeng, Ma, Yanhua
Baskı/Yayın Bilgisi:	MDPI AG
Konular:	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
Online Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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