tlyonlogo
会员中心
您好,请登录, 注册

最近浏览的商品:

0去询价篮结算
询价篮中还没有商品,赶紧选购吧!
当前位置: 首页 > 技术文献 > 应用文献 > 水果无损伤分析方法综述
文章分类
浏览历史
水果无损伤分析方法综述

来源: Satyam Srivastava、Shashikant Sadistap  发布日期: 2019-08-09  访问量: 48


本文对不同水果采收过程中不同的田间问题进行了广泛的综述,并对这些问题如何对世界各地的水果腐败产生重大影响进行了综述。本文还综述了各种无损检测技术(电子鼻、光谱学、超声波、成像等)以及用于不同果品品种质量评价的各种数据处理算法(数据处理、特征提取、数据融合等)。在水果质量评估的背景下,还探讨了多种无损检测技术融合的范围、挑战和瓶颈。根据传感技术、应用、预测能力、成本、可访问性和可靠性,还对全球市场上的各种产品进行了评估。...
标签: Cyranose 320、电子鼻、水果无损伤
 

Non-destructive sensing methods for quality assessment of on-tree fruits: a review

水果无损伤分析方法综述

Satyam Srivastava1 · Shashikant Sadistap2

Abstract

Optimum maturity at harvest is a very important determinant to ensure the final quality of the fruits. Harvesting fruits at appropriate time maintains different quality parameters such as taste, size, shape, nutritional parameters and also have longer shelf life. While as fruits picked too early or too late in season are more susceptible towards different physiological disorders as well as have very shorter shelf life. So optimal harvesting time judgement is one of the most important information for various fruit growers to optimize the yield and to decrease the on-field losses. In recent years, various rapid and reliable non-destructive sensing techniques along with different multivariate, data fusion, and chemometric algorithms have been evolved to measure the quality parameters of different fruit samples at the time of harvesting. This paper presents an extensive review on different on-field issues during harvesting of various fruits and also how these issues significantly contributes to fruit spoilage all over the world. Presented paper also consist review on different non-destructive sensing techniques (electronic nose, spectroscopy, ultrasonic, imaging etc) along with various data processing algorithms (data treatment, feature extraction, data fusion etc) used for quality assessment of different fruit cultivars. Scope of multiple non-destructive sensing techniques fusion, challenges and bottlenecks also have been explored in the context of fruit quality assessment. Various products available in global market are also reviewed based on their sensing technique,application, prediction capabilities, cost, accessibility and reliability.

收获时的最佳成熟度是保证果实最终品质的一个非常重要的决定因素。在适当的时间收获水果可以保持不同的质量参数,如味道、大小、形状、营养参数,而且保存期更长。而当水果采摘过早或过晚时,更容易受到不同生理疾病的影响,而且货架期也很短。因此,最佳采收期判断是各果农优化产量、减少田间损失的重要信息之一。近年来,各种快速可靠的无损检测技术,以及不同的多元、数据融合和化学计量学算法,已经发展成为在收获时测量不同水果样品质量参数的方法。本文对不同水果采收过程中不同的田间问题进行了广泛的综述,并对这些问题如何对世界各地的水果腐败产生重大影响进行了综述。本文还综述了各种无损检测技术(电子鼻、光谱学、超声波、成像等)以及用于不同果品品种质量评价的各种数据处理算法(数据处理、特征提取、数据融合等)。在水果质量评估的背景下,还探讨了多种无损检测技术融合的范围、挑战和瓶颈。根据传感技术、应用、预测能力、成本、可访问性和可靠性,还对全球市场上的各种产品进行了评估。


Keywords Non-destructive · Harvesting time · Fruits · Shelf life · And data fusion

关键词:非破坏性·收获时间·果实·保质期·数据融合

 


相关文章