id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-23253	Li, Jie; Wu, Guifang; Guo, Fang; Han, Lei; Xiao, Haowen; Cao, Yang; Yang, Huihe; Yan, Shubin	Detection of Protein Content in Alfalfa Using Visible/ Near-Infrared Spectroscopy Technology	2024	18	.pdf	application/pdf	7950	374	46	Additionally, the Partial Least Squares Regression (PLSR) and Extreme Learning Machine (ELM) methods were used to establish protein content prediction models for both the full spectrum and feature wavelengths of purple alfalfa. Initially, prediction models were developed using the PLSR method for purple alfalfa's full-spectrum and feature wavelength spectral data.	cache/brj-23253.pdf	txt/brj-23253.txt