Artificial Intelligence for Biomass-based Biofuel Production: Current Status and Prospects [Hardcover]

Chapter 1. A overview of lignocellulosic biomass. Chapter 2. Lignocellulosic biomass-based biofuel production. Chapter 3. Present Status and Future Scope of Lignocellulosic Biomass-based Biofuel Production. Chapter 4. An Overview of Artificial Intelligence and Machine Learning. Chapter 5. Artificial intelligence and its application in biofuel production. Chapter 6. Machine learning and its application in biodiesel production. Chapter 7. Machine learning and its application in bioethanol production. Chapter 8. Artificial Intelligence in enhancement of bioethanol production from lignocellulosic biomass. Chapter 9. Current status of artificial intelligence-based biofuel research. Chapter 10. Life Cycle Assessment and Cost Analysis of Artificial Intelligence-Based Biofuel Production. Chapter 11. Artificial intelligence based microalgal biofuel production: Future prospect, limitation, and challenges. Chapter 12. Artificial Intelligence and Machine Learning in Biofuels as Tools for Advancing Efficiency and Sustainability. Chapter 13. AI-Driven Optimization Strategies for Enhanced Biobutanol Production. Chapter 14. Harnessing the potential of Microbial Electrochemical Systems with AI and ML

This book covers all current technological, industrial status and future prospect of biofuel production with the concept of Artificial Intelligence including environmental and socioeconomic impact assessment of biofuel production from lignocellulosic biomass.?

Arindam Kuila is currently working as Assistant Professor at the Department of Bioscience & Biotechnology, Banasthali Vidyapith, Rajasthan, India. Previously, he worked as a research associate at Hindustan Petroleum Green R&D Centre, Bangalore, India. He did his PhD from Agricultural & Food Engineering Department, the Indian Institute of Technology Kharagpur, India, in 2013 in the area of lignocellulosic biofuel production. Hl³Ò