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Characterization of a new fertilizer during field trials by hyperspectral imaging

机译：高光谱成像在田间试验中表征新肥料

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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.
机译：这项工作是在LIFE RESAFE项目（LIFE12 ENV / IT / 000356）“城市废物，生物炭和农场残留物中的创新肥料替代化学肥料”的框架内进行的。 RESAFE项目的目的是从废物中生产一种新的肥料，用于农业实践。在西班牙进行的田间试验中，对5种不同作物的新肥料进行了测试：大麦，玉米，番茄，马铃薯和甜瓜。对于每种作物，采用了六种不同的处理方法并进行了比较，以验证RESAFE肥料的质量。在实验开始和结束时收集土壤样品。研究了使用高光谱成像（HSI）进行土壤演变监测和表征肥料利用率和所得农作物质量的可能性。通过HSI在近红外场（1000-1700 nm）中获取土壤样品，并在相同样品上参照总氮，总有机碳，碳氮比，总有机物进行经典化学分析。通过化学计量学方法对高光谱数据进行了分析，方法是将主成分分析（PCA）用于探索目的，将偏最小二乘分析（PLS）用于估计化学参数。结果表明，所提议的硬件和软件集成体系结构允许实施低成本且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所选的作物定量评估土壤的化学物理属性。

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