“…Applying these models to an at-line analyzer allows rapid, high-throughput prediction of lignocellulosic constituents for new samples [16]. The prediction of biomass composition using NIR spectral data has been developed for many species, such as Miscanthus [17], switchgrass [18], poplar [19], sugarcane (on three selected genotypes) [11], and in broad-based multispecies models (including corn, sorghum, rice, and wheat) [16]. In the Australian sugarcane industry, NIR spectroscopic models have been developed for evaluation of many sugar mill products, such as prepared cane, bagasse, raw sugar, molasses, juice and syrups, massecuite, magma, and mud [4,12,20].…”