Subject
Agronomy and Crop Science
Reference31 articles.
1. Data-driven machine learning approach for predicting the higher heating value of different biomass classes;Afolabi;Clean. Technol.,2022
2. Machine learning technology in biodiesel research: a review;Aghbashlo;Prog. Energy Combust. Sci.,2021
3. Use of multivariate NMR analysis in the content prediction of hemicellulose, cellulose and lignin in greenhouse crop residues;Aguilera-Sáez;Phytochemistry,2019
4. Ai, N., Jiang, Y., Omar, S., Wang, J., Xia, L., Ren, J., 2022. Rapid Measurement of Cellulose, Hemicellulose, and Lignin Content in Sargassum horneri by Near-Infrared Spectroscopy and Characteristic Variables Selection Methods. Molecules 2022, Vol. 27, Page 335 27, 335. https://doi.org/10.3390/MOLECULES27020335.
5. Machine learning applications in biomass pyrolysis: from biorefinery to end-of-life product management;Akinpelu;Digit. Chem. Eng.,2023
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