利用LIBS检测新鲜牧草中矿物质营养水平需要考虑的因素

2017 Eleventh International Conference on Sensing Technology (ICST) Pub Date : 2017-12-01 DOI:10.1109/ICSENST.2017.8304466

H. Jull, R. Künnemeyer, P. Schaare

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引用次数: 0

摘要

精准农业需要精确的内场传感技术来提供实时信息。激光诱导击穿光谱(LIBS)已在实验室中用于植物材料的分析。本文研究了利用各种化学计量学方法来提高LIBS模型在新鲜牧草养分预测中的准确性。结果表明，两种方法之间的差异很小，在交叉验证中标准化均方根误差相差约1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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2017 Eleventh International Conference on Sensing Technology (ICST)

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