Nondestructive testing with sensor technology is one of the fastest growing and most promising wheat quality information analysis technologies. Nondestructive testing with sensor technology benefits from the latest achievement of many disciplines such as computer, optics, mathematics, chemistry, and chemometrics. It has the advantages of simplicity, speed, low cost, no pollution, and no contact. It is widely used in wheat quality analysis and testing research. This article summarizes nondestructive testing with sensor technology for wheat quality, including the mechanical model, hyperspectral technology, Raman spectroscopy, and near-infrared techniques for wheat mechanical properties, storage properties, and physical and chemical properties (such as moisture, ash, protein, and starch) in the past decade. Based on the current research progress, big data technology needs a lot of research in spectral data mining, modeling algorithm optimization, model robustness, etc. to provide more data support and method reference for the research and application of wheat quality.

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基于大数据的传感器技术小麦品质无损检测


传感器技术无损检测是发展最快、最有前途的小麦品质信息分析技术之一。采用传感器技术的无损检测受益于计算机、光学、数学、化学和化学计量学等许多学科的最新成果。具有简单、快捷、成本低、无污染、无接触等优点。广泛应用于小麦品质分析和检测研究。本文综述了小麦品质无损检测传感器技术，包括力学模型、高光谱技术、拉曼光谱、近红外技术等对小麦力学特性、储藏特性、理化特性（如水分、灰分、蛋白质、和淀粉）在过去的十年里。基于目前的研究进展，大数据技术需要在光谱数据挖掘、建模算法优化、模型鲁棒性等方面进行大量的研究，为小麦品质的研究和应用提供更多的数据支持和方法参考。