Evaluation of Leymus chinensis quality using near-infrared reflectance spectroscopy with three different statistical analyses

@inproceedings{Chen2015EvaluationOL,
  title={Evaluation of Leymus chinensis quality using near-infrared reflectance spectroscopy with three different statistical analyses},
  author={Jishan Chen and Ruifen Zhu and Ruixuan Xu and Wenjun Zhang and Yue Shen and Yingjun Zhang and Chandan Goswami},
  booktitle={PeerJ},
  year={2015}
}
Due to a boom in the dairy industry in Northeast China, the hay industry has been developing rapidly. Thus, it is very important to evaluate the hay quality with a rapid and accurate method. In this research, a novel technique that combines near infrared spectroscopy (NIRs) with three different statistical analyses (MLR, PCR and PLS) was used to predict the chemical quality of sheepgrass (Leymus chinensis) in Heilongjiang Province, China including the concentrations of crude protein (CP), acid… CONTINUE READING