近红外成像在水果品质评价中的原理及应用——综述,International Journal of Food Science & Technology

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近红外成像在水果品质评价中的原理及应用——综述
International Journal of Food Science & Technology ( IF 2.6 ) Pub Date : 2023-12-11 , DOI: 10.1111/ijfs.16862
Krishna Kumar Patel _{1,

2} , Pankaj B. Pathare ₃

Affiliation

迄今为止，水果和其他农产品的质量（即卓越程度和消费者接受程度）评估和安全性是食品行业面临的主要挑战。因此，开发高效、非侵入、实时、快速的质量评估工具和技术是当务之急。本综述旨在提供有关基于近红外成像的计算机视觉系统的原理、潜力和应用的基础知识。基于光学特性的非侵入性技术对于实时质量评估是最适用和最重要的。入射光透射前的吸收、反射和散射是生物材料的现象特性。通过各种已发表的研究论文，研究了近红外成像（即医学成像）在农业质量检测中的原理和应用。因此，本报告以独特的方式对收集到的信息进行了总结、总结和讨论。电磁波的近红外光谱具有光穿透上层的一些基本优点，并使物体的目标区域可视化。多项研究证明，基于可见光和非可见光成像相结合的无损系统在水果质量缺陷检测中具有显着的作用。在近红外成像中，可以减少由光照射引起的伪影，这将有助于可视化生物组织和果皮下方隐藏的缺陷。

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Principle and applications of near-infrared imaging for fruit quality assessment—An overview

The quality (i.e. the degree of excellence and acceptance to the consumer) evaluation and safety of fruit and other agricultural products is by far the main challenging task in the food industries. Hence, the development of efficient non-invasive, real-time and rapid-quality assessment tools and techniques is the need of the hour. This review paper aims to provide the basic or fundamental knowledge regarding the principle, potential and application of near-infrared imaging-based computer vision systems. Non-invasive technologies, based on optical properties, are the most applicable and important for real-time quality assessment. Absorption, reflection and scattering before the transmission of incident light are phenomenon properties of biological materials. The principle and application of NIR imaging (i.e. medical imaging) in agriculture for quality detection were studied from various published research papers. Thus, collected pieces of information are summarised, concluded and discussed in a unique way in this report. The NIR spectrum of electromagnetic waves has some basic benefits of light penetration into the upper layer and makes visualisation of the targeted area of objects. Several studies have proved that the non-destructive system based on visible and non-visible imaging in combination has a significant role in quality defect detection in fruits. In NIR imaging, the artefacts caused by light illumination can be reduced and it will help in the visualisation of biological tissues and hidden defects just below the peel.

更新日期：2023-12-11

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