水果采后处理的机械化与自动化技术

评价了国内外果品分级设备、果实品质的无损伤检测设备的生产和使用情况，对国内外使用的水果清洗打蜡设备进行了简要的分析说明。     

果实采后分级处理的自动化技术

阐明了果实后分级设备的生产和使用情况，包括果实大小分级机、果实质量分级机、果实色泽分级机和世界上较先进的既按大小又按着色程度分级的果实色泽质量分级机。     

果实采后分级处理的自动化技术

阐明了果实采后分级设备的生产和使用情况 ,包括果实大小分级机、果实质量分级机、果实色泽分级机和世界上较先进的既按大小又按着色程度分级的果实色泽质量分级机     

水果无损检测技术综述

随着经济发展与消费观念的转变,相比于水果价格,消费者更关注水果品质,当前我国水果采摘后的品质分级手段仍依赖人工或者简单粗略的机械筛选。本文介绍了电子鼻技术、计算机视觉技术、红外光谱技术以及电学特性检测技术的原理及发展,并比较了这些技术在水果无损检测领域中的不同应用。     

基于高光谱成像技术的水果品质无损检测

高光谱图像技术结合光谱技术与计算机图像技术两者的优点,可获得大量包含连续波长光谱信息的图像块,其图像信息可检测水果的外部品质,光谱信息则可用于水果内部品质的检测,达到根据水果内、外部综合品质进行分类的目的. 综述了国内外将该技术应用于水果品质检测方面的研究进展,提出了利用高光谱图像技术检测苹果轻微损伤的方法,利用500～900nm的高光谱图像数据,通过主成分分析提取547nm波长下的特征图像.     

基于高光谱技术的鲜食水果玉米含水率无损检测

目的：实现对鲜食玉米含水率的快速、准确预测。方法：采用高光谱技术对鲜食水果玉米进行光谱数据采集,比较了变量标准化算法（SNV）、附加散射校正算法（MSC）、卷积平滑（SG）、移动平均法（MA）等数据预处理方法对模型精度的影响,选取MSC进行预处理。基于MSC预处理数据选用连续投影算法（SPA）、竞争性自适应重加权算法（CARS）以及随机蛙跳法（RF）分别提取含水率的特征波长并建模分析。结果：MSC-CARS-PLS模型的含水率预测效果最好,预测集的决定系数（R²_p）达到0.825 0,预测均方根误差（RMSEP）为0.006 0。结论：利用高光谱技术可实现对鲜食水果玉米含水率的快速无损检测。     

高光谱图像技术在水果品质检测中的研究进展

高光谱图像技术结合了光谱技术和图像技术两者的优点,可实现水果内外品质同时检测,是水果品质无损检测的发展趋势。本文介绍了高光谱图像技术的基本原理,高光谱图像数据处理方法,在水果内外品质无损检测方面的国内外研究现状,分析了高光谱图像技术在水果品质检测中存在的问题及未来的研究方向。     

无损检测自动化技术在飞机修理中的应用

文章介绍飞机维修工程领域中超声、射线、电磁以及机器视觉检测自动化应用典型案例,指出飞机维修无损检测自动化应用仍然处在初级阶段,部分产品或系统只实现半自动化或过程的自动化,但随着计算机、机械控制、信号处理和人工智能技术的发展,飞机维修工程领域检测技术的自动化程度正在走向成熟。在实现无损检测自动化过程中,需统筹考虑检测对象、应用环境以及制造使用成本。     

Fruits,vegetables, and health: A comprehensive narrative,umbrella review of the science and recommendations for enhanced public policy to improve intake

Abstract

Fruit and vegetables (F&V) have been a cornerstone of healthy dietary recommendations; the 2015–2020?U.S. Dietary Guidelines for Americans recommend that F&V constitute one-half of the plate at each meal. F&V include a diverse collection of plant foods that vary in their energy, nutrient, and dietary bioactive contents. F&V have potential health-promoting effects beyond providing basic nutrition needs in humans, including their role in reducing inflammation and their potential preventive effects on various chronic disease states leading to decreases in years lost due to premature mortality and years lived with disability/morbidity. Current global intakes of F&V are well below recommendations. Given the importance of F&V for health, public policies that promote dietary interventions to help increase F&V intake are warranted. This externally commissioned expert comprehensive narrative, umbrella review summarizes up-to-date clinical and observational evidence on current intakes of F&V, discusses the available evidence on the potential health benefits of F&V, and offers implementation strategies to help ensure that public health messaging is reflective of current science. This review demonstrates that F&V provide benefits beyond helping to achieve basic nutrient requirements in humans. The scientific evidence for providing public health recommendations to increase F&V consumption for prevention of disease is strong. Current evidence suggests that F&V have the strongest effects in relation to prevention of CVDs, noting a nonlinear threshold effect of 800?g per day (i.e., about 5 servings a day). A growing body of clinical evidence (mostly small RCTs) demonstrates effects of specific F&V on certain chronic disease states; however, more research on the role of individual F&V for specific disease prevention strategies is still needed in many areas. Data from the systematic reviews and mostly observational studies cited in this report also support intake of certain types of F&V, particularly cruciferous vegetables, dark-green leafy vegetables, citrus fruits, and dark-colored berries, which have superior effects on biomarkers, surrogate endpoints, and outcomes of chronic disease.