Feasibility study of assessing cotton fiber maturity from near infrared hyperspectral imaging technique  

作　　者：LIU Yongliang TAO Feifei YAO Haibo KINCAID Russell 

机构地区：[1]USDA,ARS,Southern Regional Research Center(SRRC),Cotton Structure&Quality Research Unit,New Orleans,LA 70124,USA [2]Geosystems Research Institute,Mississippi State University,Building 1021,Stennis Space Center,MS 39529,USA

出　　处：《Journal of Cotton Research》2023年第4期266-276,共11页棉花研究（英文）

基　　金：supported partially by the USDA-ARS Research Project#6054-44000-080-00D.

摘　　要：Background Fiber maturity is a key cotton quality property,and its variability in a sample impacts fiber processing and dyeing performance.Currently,the maturity is determined by using established protocols in laboratories under a controlled environment.There is an increasing need to measure fiber maturity using low-cost(in general less than $20000)and small portable systems.In this study,a laboratory feasibility was performed to assess the ability of the shortwave infrared hyperspectral imaging(SWIR HSI)technique for determining the conditioned fiber maturity,and as a comparison,a bench-top commercial and expensive(in general greater than $60000)near infrared(NIR)instrument was used.Results Although SWIR HSI and NIR represent different measurement technologies,consistent spectral characteristics were observed between the two instruments when they were used to measure the maturity of the locule fiber samples in seed cotton and of the well-defined fiber samples,respectively.Partial least squares(PLS)models were established using different spectral preprocessing parameters to predict fiber maturity.The high prediction precision was observed by a lower root mean square error of prediction(RMSEP)(<0.046),higher R_(p)^(2)(>0.518),and greater percentage(97.0%)of samples within the 95% agreement range in the entire NIR region(1000-2500 nm)without the moisture band at 1940 nm.Conclusion SWIR HSI has a good potential for assessing cotton fiber maturity in a laboratory environment.

关 键 词：Near infrared spectroscopy Near infrared hyperspectral imaging Fiber maturity Seed cotton Partial least squares regression 

分 类 号：S562[农业科学—作物学]