AI and Hyperspectral Imaging based Non-Destructive inspection for Advancing Peat Use Efficiency in Whisky Production: A Feasibility Study

基于人工智能和高光谱成像的无损检测提高威士忌生产中泥炭的使用效率：可行性研究

• 批准号: 10081207
• 金额: $ 5.56万
• 依托单位: THE SCOTCH WHISKY RESEARCH INSTITUTE
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10081207
• 关键词: AI; Hyperspectral; Imaging; based; Non

This collaborative project between The Scotch Whisky Research Institute (SWRI) and Robert Gordon University (RGU) aims to revolutionize peat analysis in the whisky industry using Artificial Intelligence (AI) and hyperspectral imaging techniques. By leveraging SWRI's expertise in whisky production and RGU's AI and hyperspectral imaging capabilities, we will achieve genuine and specific advantages in peat analysis for whisky production.The project will develop a hyperspectral image acquisition and AI-driven analysis system, capable of obtaining high-quality hyperspectral data with precise spatial and spectral resolution. This advanced system will enable us to accurately analyse peat using advanced feature extraction and decision-making algorithms.Hyperspectral imaging (HSI) combines spectroscopy with conventional 2-D imaging, allowing for spectral characterization of each pixel in an object. This unique capability enables the detection of minor differences in temperature, moisture, and chemical composition, surpassing the capabilities of conventional techniques. While HSI has been used to detect phenolic compounds in various materials, its application for non-destructive measurement of phenolic compounds in peat has not been fully explored.Our innovation harnesses HSI technology to transcend the constraints of traditional, resource-heavy lab methods, offering the whisky industry an advanced, sustainable solution for peat analysis. The tangible benefits include expedited analysis, reduced resource dependency, enhanced phenol detection accuracy, and a greener approach to peat analysis. These advancements will directly contribute to improved peat efficiency, superior quality control, and consistent flavour profiling in whisky production.

苏格兰威士忌研究所（SWRI）和罗伯特戈登大学（RGU）之间的合作项目旨在使用人工智能（AI）和高光谱成像技术彻底改变威士忌行业的泥炭分析。通过利用SWRI在威士忌生产方面的专业知识和RGU的人工智能和高光谱成像能力，我们将在威士忌生产的泥炭分析方面实现真正的和特定的优势。该项目将开发高光谱图像采集和人工智能驱动的分析系统，能够获得具有精确空间和光谱分辨率的高质量高光谱数据。这一先进的系统将使我们能够使用先进的特征提取和决策算法准确地分析泥炭。高光谱成像（HSI）将光谱学与传统的二维成像相结合，可以对物体中的每个像素进行光谱表征。这种独特的能力能够检测温度、湿度和化学成分的微小差异，超越了传统技术的能力。虽然HSI已被用于检测各种材料中的酚类化合物，但其在泥炭中酚类化合物无损测量方面的应用尚未得到充分探索。我们的创新利用HSI技术，超越了传统的资源密集型实验室方法的限制，为威士忌行业提供了先进的可持续泥炭分析解决方案。这些切实的好处包括加快分析速度，减少对资源的依赖，提高苯酚检测的准确性，以及更环保的泥炭分析方法。这些进步将直接有助于提高泥炭效率，上级质量控制，并在威士忌生产中保持一致的风味。