id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-24693	Guo , Wenbin; Shi, Tianyu; Jin, Xiaowei; Zhang , Xuhui	Fusion of Spectra and Texture in Hyperspectral Imaging for Quantification of Nutritional Content in Alfalfa-Potato Pomace	2025	15	.pdf	application/pdf	5619	266	52	The results indicated that the SNV-GB-COR-SVR model performed best in predicting crude protein content, with an R2p of 0.907 and an RMSEP of 0.5548, while the SNV-CARS-ENT-SVR model was most effective in predicting starch content, with an R2p of 0.7915 and an RMSEP of 1.3970. Nutrient Content Testing The determination of crude protein content in feed was carried out using the Kjeldahl method, following the GB/T 6432 (2018) standard (Huang et al. 2021).	cache/brj-24693.pdf	txt/brj-24693.txt