In-situ spectroscopic characterization of soil properties for precision agriculture**

精准农业土壤特性的原位光谱表征**

基本信息

批准号：
533710-2018
负责人：
Biswas, Asim
金额：
$ 1.82万
依托单位：
University of Guelph
依托单位国家：
加拿大
项目类别：
Engage Grants Program
财政年份：
2018
资助国家：
加拿大
起止时间：
2018-01-01 至 2019-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=645547
关键词：
situ spectroscopic characterization soil properties

项目摘要

SoilReader®, a precision agriculture equipment manufacturing company, is revolutionizing soil analysis techniques with highly precise and in-situ measurements of multiple soil constituents at depths in real-time utilizing the principle of soil spectroscopy. SoilReader, a soil spectrometer attached to a disc, records real-time soil spectral response at multiple depths (within top 9-in) as it moves through the field with high-resolution analysis (~3500 samples/acre) of multiple (9) soil constituents providing solutions for fast and non-destructive soil characterization for precision management of crop inputs. However, during each rotation of the SoilReader disc, the spectrometer records spectral response continuously both in dark environment within the soil and the bright environment outside of soil. This creates difficulty in processing the soil spectra and the prediction of soil properties. The joint venture between the University of Guelph and SoilReader aims to develop strategies to separate the spectra and improve prediction of soil properties. More specific questions that this project aims to answer are 1) how well spectroscopic measurements can predict multiple soil properties in the field (in-situ) conditions? and 2) how can we develop a multivariate statistical model to process above/below ground spectral responses for improved prediction of soil properties? The research, the technique, and the information generated through this project will provide an inexpensive means for soil characterization in short time for the growers, service providers, researchers, and other data users for precision agriculture services. Additionally, the mathematical model developed from this project will guide SoilReader to develop and strengthen the analytical services and will improve the equipment in future to support better crop growth and development from the optimized use of agronomic input while improving environmental sustainability.**

Precision农业设备制造公司SoilReader®正在使用土壤光谱法原理实时地实时地进行了高度精确和原位测量的土壤分析技术。土壤阅读器是附着在圆盘上的土壤光谱仪，记录了多个（9）土壤结构的高分辨率分析（〜3500个样品/英亩），以多个（〜3500个样品/英亩）的方式在多个深度（在9英寸内部）处记录了实时土壤光谱响应，为快速和非严重的土壤构造提供了解决溶液的溶液，以精确的作物输入。但是，在土壤读取器盘的每次旋转过程中，光谱仪在土壤内的黑暗环境和土壤外的明亮环境中连续记录光谱响应。这在处理土壤光谱和土壤特性的预测方面很难。圭尔夫大学和土壤阅读者之间的合资企业旨在制定分离光谱并改善土壤特性预测的策略。该项目旨在回答的更具体的问题是1）光谱测量能够预测现场（原位）条件中的多个土壤特性？ 2）我们如何开发一个多元统计模型以在地面光谱响应之上进行处理以改善土壤特性的预测？该项目生成的研究，技术和信息将为长时间的土壤表征提供廉价的手段，用于增长，服务提供商，研究人员和其他数据使用者，以提供精确的同意服务。此外，该项目开发的数学模型将指导土壤阅读器开发和加强分析服务，并将改善将来的设备，以支持优化的可融合投入，同时改善环境可持续性，以支持更好的作物生长和开发。** **