{"title":"Considerations needed for sensing mineral nutrient levels in fresh pasture using LIBS","authors":"H. Jull, R. Künnemeyer, P. Schaare","doi":"10.1109/ICSENST.2017.8304466","DOIUrl":null,"url":null,"abstract":"Precision agriculture requires accurate infield sensing technologies to give real-time information. Laser-induced breakdown spectroscopy (LIBS) has been used for the analysis of plant material in laboratories. Presented here is a study on using various chemometric methods to improve the accuracy of LIBS models for nutrient prediction in fresh pasture. Results show that the difference between methods is small, around 1 % difference between normalized root mean squared error in cross-validation.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Eleventh International Conference on Sensing Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENST.2017.8304466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Precision agriculture requires accurate infield sensing technologies to give real-time information. Laser-induced breakdown spectroscopy (LIBS) has been used for the analysis of plant material in laboratories. Presented here is a study on using various chemometric methods to improve the accuracy of LIBS models for nutrient prediction in fresh pasture. Results show that the difference between methods is small, around 1 % difference between normalized root mean squared error in cross-validation.
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