家电科技 ›› 2025, Vol. 0 ›› Issue (zk): 388-392.doi: 10.19784/j.cnki.issn1672-0172.2025.99.081

• 第三部分 健康适老与智能 • 上一篇    下一篇

基于高光谱技术的食物成熟度判定浅析

冯国华, 宋龙龙, 潘学睿   

  1. 杭州老板电器股份有限公司 浙江杭州 310000
  • 发布日期:2025-12-30
  • 作者简介:冯国华,本科学历。研究方向:电气结构。E-mail:fenggh@robam.com。

A brief analysis of food maturity determination method based on full-spectrum technology

Feng Guohua, Song Longlong, Pan Xuerui   

  1. Hangzhou Robam Appliances Co., Ltd. Hangzhou 310000
  • Published:2025-12-30

摘要: 高光谱技术凭借其非破坏性、高效性和多组分同步分析能力,为食品品质评估带来了革命性突破。首先阐述了高光谱技术的基本原理与系统特性,随后分析了传统成熟度判定方法存在的时效性差、破坏样本、操作复杂等局限性问题。重点论述了高光谱技术在食材成熟度方面的尝试。研究进一步探讨了高光谱技术与人工智能算法以及其他检测技术融合的多元化路径,展望了其在食品智能加工中的产业化前景。最后指出了当前技术应用中存在的数据处理复杂性、设备成本等挑战,并提出了相应的解决方案和发展方向。

关键词: 成熟度识别, 高光谱, 食材识别

Abstract: Full-spectrum technology has revolutionized food quality assessment through its non-destructive nature, high efficiency, and ability to analyze multiple components simultaneously. Firstly, elaborates on the basic principles and system characteristics of full-spectrum technology, then examines the limitations issue of traditional maturity determination methods, such as poor timeliness, sample destruction, and operational complexity. It focuses on discussing the application of full-spectrum technology in evaluating the maturity of food ingredients. The research further explores diverse integration pathways of full-spectrum technology with artificial intelligence algorithms and other detection technologies, while looking ahead to its industrialization prospects in intelligent food processing. Finally, identifies current challenges in technical application, including the complexity of data processing and high equipment costs, and proposes corresponding solutions and development directions.

Key words: Maturity determination, Full-spectrum technology, Food detection

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