Fuel moisture content (FMC) is crucial for understanding wildfire risk and active wildfire rate of spread. Almost all available FMC data is from a type of standardized sensor intended to represent smaller dead sticks. Using models trained to accurately predict the FMC of this standard stick size, we evaluate methods to adapt the model for use in predicting the FMC of other sizes of fuels.