Monitoring of solid-state fermentation of wheat straw in a pilot scale using FT-NIR spectroscopy and support vector data description

► Monitoring of solid-state fermentation (SSF) in a pilot scale by FT-NIR spectroscopy technique. ► Support vector data description (SVDD) was employed to develop identification model. ► Compared to LDA, KNN, BPNN and SVM, SVDD revealed its superiority in handling imbalance training sets. ► This study demonstrates that FT-NIR spectroscopy combined with SVDD is an efficient method for the rapid monitoring of SSF.