Can Machine Learning Lead to Better Biomass Production?

An image of biomass energy pellets
March 15, 2023

Biomass is widely considered a renewable alternative to fossil fuels, and many experts say it can play a critical  role in combating climate change. Biomass stores carbon and can be turned into bio-based products and energy that can be used to improve soil, treat wastewater, and produce renewable feedstock.

Yet large-scale production of it has been limited due to economic constraints and challenges to optimizing and controlling biomass conversion.

A new study led by Yale School of the Environment professor Yuan Yao and doctoral student Hannah Szu-Han Wang analyzed current machine learning applications for biomass and biomass-derived materials (BDM) to determine if machine learning is advancing the research and development of biomass products.

Read more at Yale School of the Environment.