About this document
State-Of-The-Art and Future Directions of Machine Learning For Biomass Characterization and For Sustainable Biorefinery - ScienceDirect by io is a document available to read on EtoBox.
This review discusses the role of machine learning (ML) in enhancing the efficiency of biorefinery processes, including biomass characterization and conversion methods. It highlights the current state of biorefineries, the various ML algorithms used, and their applications throughout the biorefinery lifecycle, while also addressing the benefits and limitations of these technologies. The article concludes with insights into the future prospects and challenges facing the integration of ML in biorefinery syste
- Author
- io
- Language
- EN