crossrefMachine Learning and Knowledge Extraction2024-07-17Cited by 11
Extending Multi-Output Methods for Long-Term Aboveground Biomass Time Series Forecasting Using Convolutional Neural Networks
Efrain Noa-Yarasca, Javier M. Osorio Leyton, Jay P. Angerer
Accurate aboveground vegetation biomass forecasting is essential for livestock management, climate impact assessments, and ecosystem health. While artificial intelligence (AI) techniques have advanced time series forecasting, a research gap in predicting aboveground biomass time…