Determination of wheat moisture using terahertz spectroscopy combined with the tabu search algorithm
Yin Shen, Chunjiang Zhao, Bin Li, Guanglin Li, Yanxin Yin, Binshuang Pang
Abstract
) is 0.9531. The root mean square error of prediction (RMSEP) is 0.5396. The results demonstrated that an accurate quantitative analysis of moisture in wheat samples could be achieved by terahertz time-domain spectroscopy combined with the TS algorithm. In addition, the results show that the model S-G + MSC + TS + PLS can effectively predict wheat moisture, and provide a rapid quantitative detection and analysis method for the detection of wheat moisture.
Topics & Concepts
Tabu searchSpectroscopyAlgorithmMoistureTerahertz radiationComputer scienceEnvironmental scienceMaterials sciencePhysicsOptoelectronicsAstronomyComposite materialTerahertz technology and applicationsAdvanced Chemical Sensor TechnologiesSpectroscopy and Laser Applications