This book examines biomass mixture modeling and optimization. The book discusses anaerobic
digestion and related fermentative processes and explains their compositional dynamics. Early
chapter examine macromolecules elemental fractions and their direct influence on methane
production. Supported by an extensive data bank of substrates obtained from research the book
points out correlations that enable the estimation of global methane production for diverse
biomass mixtures. Furthermore it provides valuable insights into discerning the optimal
composition capable of yielding the utmost methane output. The book integrates cutting-edge
machine learning techniques and shows how the programming language Python and Julia can be used
for analysis and to optimize processes. It has many graphs figures and visuals.
