Utility of Domain Adaptation for Biomass Yield Forecasting

Utility of Domain Adaptation for Biomass Yield Forecasting

Previous work used machine learning (ML) to estimate past and current alfalfa yields and showed that domain adaptation (DA) with data synthesis shows promise in classifying yields as high, medium, or low. The current work uses similar techniques to forecast future alfalfa yields. A novel technique i...

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Bibliographic Details
Main Authors: Jonathan M. Vance, Bryan Smith, Abhishek Cherukuru, Khaled Rasheed, Ali Missaoui, John A. Miller, Frederick Maier, Hamid Arabnia
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:AgriEngineering
Subjects:
time series
forecasting
machine learning
climate change
domain adaptation
data synthesis
Online Access:https://www.mdpi.com/2624-7402/7/7/237
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