Modelling the Yield and Estimating the Energy Properties of Miscanthus x Giganteus in Different Harvest Periods
Ivan Brandić,
Neven Voća,
Josip Leto
et al.
Abstract:This research aims to use artificial neural networks (ANNs) to estimate the yield and energy characteristics of Miscanthus x giganteus (MxG), considering factors such as year of cultivation, location, and harvest time. In the study, which was conducted over three years in two different geographical areas, ANN regression models were used to estimate the lower heating value (LHV) and yield of MxG. The models showed high predictive accuracy, achieving R2 values of 0.85 for LHV and 0.95 for yield, with correspondi… Show more
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