Machine learning models for estimating above ground biomass of fast growing trees

作者：

Highlights：

• Machine learning applied to model above ground biomass of fast growing trees.

• Comparison against traditional allometric equations.

• Random forests algorithm offers the highest prediction accuracy of 0.95 R2.

摘要

•Machine learning applied to model above ground biomass of fast growing trees.•Comparison against traditional allometric equations.•Random forests algorithm offers the highest prediction accuracy of 0.95 R2.

论文关键词：AI,Allometry,Biomass,Bioenergy,Energy crops,Regression

论文评审过程：Received 2 August 2021, Revised 14 January 2022, Accepted 1 April 2022, Available online 8 April 2022, Version of Record 10 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117186