State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …
offering the capability to analyze and predict complex processes with efficiency. This article …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …
scale applications of biomass‐based energy products are limited due to challenges related …
Ensemble machine learning for modeling greenhouse gas emissions at different time scales from irrigated paddy fields
Quantifying greenhouse gas (GHG) emissions from irrigated paddy fields is of great
significance for addressing climate change. Machine learning (ML) provides an alternative …
significance for addressing climate change. Machine learning (ML) provides an alternative …
Grassland-to-cropland conversion increased soil, nutrient, and carbon losses in the US Midwest between 2008 and 2016
After decades of declining cropland area, the United States (US) experienced a reversal in
land use/land cover change in recent years, with substantial grassland conversion to …
land use/land cover change in recent years, with substantial grassland conversion to …
Estimation of unit process data for life cycle assessment using a decision tree-based approach
Lacking unit process data is a major challenge for developing life cycle inventory (LCI) in life
cycle assessment (LCA). Previously, we developed a similarity-based approach to estimate …
cycle assessment (LCA). Previously, we developed a similarity-based approach to estimate …
[HTML][HTML] Review in life cycle assessment of biomass conversion through pyrolysis-issues and recommendations
Z Yu, H Ma, X Liu, M Wang, J Wang - Green Chemical Engineering, 2022 - Elsevier
Biomass, widespread and carbon-neutral energy, can provide electric energy and replace
fossil fuel-derived production. Pyrolysis is the main way of converting biomass to different …
fossil fuel-derived production. Pyrolysis is the main way of converting biomass to different …
A review of machine learning applications in life cycle assessment studies
Abstract Life Cycle Assessment (LCA) is a foundational method for quantitative assessment
of sustainability. Increasing data availability and rapid development of machine learning …
of sustainability. Increasing data availability and rapid development of machine learning …
Climate adaptation through crop migration requires a nexus perspective for environmental sustainability in the North China Plain
Crop migration can moderate the impacts of global warming on crop production, but its
feedback on the climate and environment remains unknown. Here we develop an integrated …
feedback on the climate and environment remains unknown. Here we develop an integrated …
Closing greenhouse gas emission gaps of staple crops in China
China is facing the dual challenge of achieving food security and agricultural carbon
neutrality. Developing spatially explicit crop emission profiles can help inform policy to …
neutrality. Developing spatially explicit crop emission profiles can help inform policy to …
Environmental assessment coupled with machine learning for circular economy
The circular economy and its various recirculation loops have become a major study subject
over recent years, particularly in the field of agriculture, which is a significant source of waste …
over recent years, particularly in the field of agriculture, which is a significant source of waste …