id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-23498	Yang, Huihe; Li, Jie; Wu, Guifang; De, Xuehong; Zhang, Yong; Guo, Fang; Yan, Shubin; Bai, Xiangping; Xiao, Haowen; Cao, Yang	Quality Detection of Alfalfa Hay Based on Multisource Information Fusion: A Preliminary Study	2024	16	.pdf	application/pdf	6670	311	44	Experimental results demonstrate that the fusion of near-infrared spectroscopy, image data, and gas information effectively enhances the classification accuracy of the model. For image data, adaptive wavelet thresholding was selected to denoise images and extracted color and texture features since alfalfa hay undergoes significant changes in color and texture after mold growth.	cache/brj-23498.pdf	txt/brj-23498.txt