Considerations needed for sensing mineral nutrient levels in fresh pasture using LIBS

被引：0

作者：

Jull, Harrisson ^{[1
]}

Kunnemeyer, Rainer ^{[1
]}

Schaare, Peter ^{[2
]}

机构：

[1] Univ Waikato, Sch Engn, Dodd Walls Ctr Photon & Quantum Technol, Hamilton, New Zealand

[2] New Zealand Inst Plant & Food Res Ltd, Bioengn Technol Grp, Hamilton, New Zealand

来源：

2017 ELEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2017年

关键词：

Laser-induced breakdown spectroscopy; Pasture; Chemometrics; Precision Agriculture; INDUCED BREAKDOWN SPECTROSCOPY; CYNODON-DACTYLON; SOILS; ROCKS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：335 / 338

页数：4

共 2 条

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[2] Detection of wine grape nutrient levels using visible and near infrared 1 nm spectral resolution remote sensing
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