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A portable IoT NIR spectroscopic system to analyze the quality of dairy farm forage
Computers and Electronics in Agriculture ( IF 7.7 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.compag.2020.105578
Guillermo Rego , Francisco Ferrero , Marta Valledor , Juan Carlos Campo , Sergio Forcada , Luis J. Royo , Ana Soldado

Abstract Having rapid and reliable knowledge of the quality of dairy farm forage is crucial for technicians and producers. However, the necessary equipment to fulfil these requirements is oftentimes expensive and complex to use. This work presents a portable instrument system to analyze the nutritional values of dairy farm forage using near-infrared spectrometry (NIRS) techniques. Using the Internet of Things (IoT) tools, data are sent to the cloud for processing; following this, they are accessible to any device. To analyze the nutritional values of dairy farm forage a chemometric model and implemented the instrument to understand the relationship between the measured spectrum and the concentration of the substances of interest was developed. The quality of the proposed methodology was validated by comparing reference and NIR data by using the statistic Standard Error of Calibration.

中文翻译:

一种用于分析奶牛场饲草质量的便携式物联网近红外光谱系统

摘要 快速、可靠地了解奶牛场饲草的质量对技术人员和生产者至关重要。然而,满足这些要求的必要设备通常既昂贵又使用复杂。这项工作提出了一种便携式仪器系统,可使用近红外光谱 (NIRS) 技术分析奶牛场饲草的营养价值。使用物联网(IoT)工具,将数据发送到云端进行处理;在此之后,任何设备都可以访问它们。为了分析奶牛场饲草的营养价值,开发了一种化学计量学模型并实施该仪器以了解测量光谱与感兴趣物质浓度之间的关系。
更新日期:2020-08-01
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