一种新型肥料在田间试验中的高光谱成像表征

G. Bonifazi, S. Serranti, A. Trella, C. Garcia Izquierdo
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引用次数: 0

摘要

这项工作是在LIFE RESAFE项目(LIFE12 ENV/IT/000356)“利用城市垃圾、生物炭和农业残留物替代化肥的创新肥料”的框架下进行的。RESAFE项目的目的是从废物中生产一种用于农业实践的新肥料。这种新肥料在西班牙的5种不同作物上进行了田间试验:大麦、玉米、番茄、土豆和甜瓜。对每种作物进行了六种不同的处理,并进行了比较,以验证RESAFE肥料的质量。在试验开始和结束时分别采集土壤样品。研究了应用高光谱成像(HSI)进行土壤演变监测和表征的可能性,并对所产作物的肥料利用和质量进行了研究。在近红外波段(1000 ~ 1700 nm)采用HSI采集土壤样品,并参照全氮、全有机碳、碳氮比、全有机质进行经典化学分析。采用化学计量学方法对高光谱数据进行分析,通过应用主成分分析(PCA)进行探索性目的和偏最小二乘分析(PLS)进行化学参数估计。结果表明,所提出的硬件和软件集成架构允许实现低成本和易于使用的分析程序,能够根据不同的施肥策略,针对不同的环境条件和选定的作物,定量评估土壤化学物理属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of a new fertilizer during field trials by hyperspectral imaging
This work was carried out in the framework of the LIFE RESAFE Project (LIFE12 ENV/IT/000356) “Innovative fertilizer from urban waste, bio-char and farm residues as substitute of chemical fertilizers”. The aim of RESAFE project is the production of a new fertilizer from waste for agricultural practices. The new fertilizer was tested on 5 different crops during field trials carried out in Spain: barley, corn, tomato, potato and melon. For each crop six different treatments were applied and compared to verify the quality of RESAFE fertilizer. Soil samples were collected at the beginning and at the end of the experiment. The possibility to apply hyperspectral imaging (HSI) to perform soil evolution monitoring and characterization in respect to the fertilizer utilization and quality of the resulting crops was investigated. Soil samples were acquired by HSI in the near infrared field (1000–1700 nm) and on the same samples classical chemical analyses were carried out with reference to total nitrogen, total organic carbon, C/N ratio, total organic matter. Hyperspectral data were analyzed adopting a chemometric approach through application of Principal Component Analysis (PCA) for exploratory purposes and Partial Least Squares Analysis (PLS) for estimation of chemical parameters. The results showed as the proposed hardware and software integrated architecture allows to implement low cost and easy to use analytical procedures able to quantitatively assess soil chemical-physical attributes according to different fertilization strategies, in respect of different environmental conditions and selected crops.
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