An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Mengwen Mei , Jiangbo Li
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引用次数: 3

Abstract

Background

Bruising is a kind of subcutaneous tissue injury that does not involve the rupture of fresh fruit epidermis. This damage can occur at any stage from picking, storage and transportation, which can result in fruit deterioration and rejection by the market or consumer. It is, however, very challenging to detect bruising due to no or few visual symptoms. A lot of studies have carried out to establish a feasible methodology to achieve rapid, non-destructive and accurate detection of bruised fruit in the commercial real-time grading line.

Scope and approach.

This review focuses solely on the non-destructive detection for fruit bruising, involving qualitative and quantitative analysis (e.g., degree, time and volume of bruises), and provides a comprehensive summary of the latest advances in 11 optical non-destructive sensing techniques, covering basic principles, system composition, methods/algorithms, applications, challenges and trends.

Key findings and conclusions.

Optical sensing technologies, especially imaging, are suitable for bruising detection of fruit. HSI can evaluate the bruises with different of degrees and time periods. Both MRI and X-ray CT imaging can reconstruct 3D fruit for the quantitative analysis of bruise volume and the research of bruise mechanism. SIRI shows impressive depth discrimination and enhanced imaging ability for subcutaneous slight bruises. The fusion technology is valuable, but it needs further exploration. The advanced detection algorithms are crucial to the successfully implementation of technology. In practice, MSI, FI, TI, BSI, SIRI and fusion technologies are worth recommending for online bruise detection. In addition, the study about the mechanism of bruising formation and the postharvest behavior of fruit can help to reduce the bruising incidence of fresh fruit after harvest.

水果损伤的光学无损检测技术、方法、应用、挑战和发展趋势综述
背景青肿是一种不涉及新鲜水果表皮破裂的皮下组织损伤。这种损害可能发生在采摘、储存和运输的任何阶段,这可能导致水果变质和被市场或消费者拒绝。然而,由于没有或很少有视觉症状,检测瘀伤非常具有挑战性。为了建立一种可行的方法,在商用实时分级线上实现伤果的快速、无损、准确检测,进行了大量的研究。范围和方法。本文综述了水果擦伤的无损检测,包括定性和定量分析(如擦伤的程度、时间和体积),并全面总结了11种光学无损检测技术的最新进展,包括基本原理、系统组成、方法/算法、应用、挑战和趋势。主要发现和结论。光学传感技术,特别是成像技术,适用于水果的瘀伤检测。HSI可以评价不同程度、不同时间的瘀伤。MRI和x线CT成像均可对水果进行三维重建,用于瘀伤体积的定量分析和瘀伤机理的研究。SIRI对皮下轻微瘀伤表现出深刻的深度识别和增强的成像能力。核聚变技术是有价值的,但需要进一步的探索。先进的检测算法是技术成功实施的关键。在实践中,MSI、FI、TI、BSI、SIRI和融合技术值得推荐用于在线瘀伤检测。此外,对果实采后瘀伤形成机理和采后行为的研究有助于降低鲜果采后瘀伤的发生率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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