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

精密农业设备制造公司SoilReader®利用土壤光谱学原理，对土壤分析技术进行了革命性的变革，利用土壤光谱学原理，对土壤深处的多种土壤成分进行了高精度的现场测量。SoilReader是一种安装在光盘上的土壤光谱仪，当它在田间移动时，它可以记录多个深度(顶端9英寸内)的实时土壤光谱响应，对多种土壤成分进行高分辨率分析(约3500个样本/英亩)，为精确管理作物投入提供快速和非破坏性的土壤表征解决方案。然而，在SoilReader光盘的每一次旋转过程中，光谱仪都会连续记录土壤内黑暗环境和土壤外部明亮环境下的光谱响应。这给土壤光谱的处理和土壤性质的预测带来了困难。Guelph大学和SoilReader的合资企业旨在开发分离光谱的策略，并改进土壤性质的预测。这个项目旨在回答的更具体的问题是：1)光谱测量在野外(现场)条件下预测多种土壤性质的效果如何？以及2)我们如何开发一个多变量统计模型来处理地上/地下光谱响应，以改进对土壤性质的预测？通过该项目产生的研究、技术和信息将在短时间内为种植者、服务提供商、研究人员和其他精准农业服务的数据用户提供廉价的土壤表征手段。此外，从该项目开发的数学模型将指导SoilReader开发和加强分析服务，并将在未来改进设备，通过优化使用农业投入，同时改善环境可持续性，支持更好的作物生长和发展。**

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.**