Mechanical-based and Optical-based Methods for Nondestructive Evaluation of Fruit Firmness

高光谱成像 多光谱图像 无损检测 锤子 材料科学 近红外光谱 计算机科学 光学 人工智能 物理 量子力学 冶金
作者
Shijie Tian,Huirong Xu
出处
期刊:Food Reviews International [Taylor & Francis]
卷期号:39 (7): 4009-4039 被引量:18
标识
DOI:10.1080/87559129.2021.2015376
摘要

Fruits are important agricultural products in the current society. The demands for high-quality fruits have promoted the development of various nondestructive firmness evaluation methods in recent 20 years. The nondestructive and fast techniques used in the prediction of the firmness of various fruits can be divided into two categories: optical-based methods and mechanical-based methods. Optical-based methods mainly refer to visible/near-infrared (Vis/NIR) spectroscopy, hyperspectral or multispectral imaging (HIS/MSI), spatially resolved reflectance spectroscopy (SRRS), laser light backscatter imaging (LLBI), and others. Mechanical-based methods including several techniques such as micro-deformation, vibration measurements, acoustic impact response, falling impact, hammer impact, and ultrasonic methods. Fundamental principles, as well as measured performances of mechanical-based methods and optical-based methods for measuring the firmness of fruit, are discussed in detail in this paper. The techniques that can be applied to on-line sorting are considered emphatically. Both mechanical-based and optical-based methods have advantages and disadvantages in predicting fruit firmness. The correlations between the firmness measured by mechanical-based methods and puncture firmness are poor in some studies, and the optical methods also have not obtained satisfactory results. Therefore, the on-line measurement of fruit firmness with high accuracy is still facing some challenges.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
懵懂的采梦应助sssss采纳,获得10
2秒前
大模型应助鱼粥很好采纳,获得10
2秒前
4秒前
都找到了发布了新的文献求助10
5秒前
浮游应助yujia采纳,获得10
5秒前
5秒前
重要稀完成签到,获得积分10
6秒前
量子星尘发布了新的文献求助20
6秒前
7秒前
8秒前
9秒前
蠹鱼关注了科研通微信公众号
9秒前
周小鱼完成签到,获得积分10
9秒前
wwiee完成签到 ,获得积分10
9秒前
幸福的道天完成签到,获得积分10
10秒前
要爆炸了发布了新的文献求助10
11秒前
秦汉的抉择完成签到,获得积分10
11秒前
方勇飞发布了新的文献求助10
12秒前
12秒前
AoAoo发布了新的文献求助10
13秒前
高高冰旋完成签到,获得积分10
13秒前
完美世界应助张立敏采纳,获得10
14秒前
15秒前
FashionBoy应助京港风采纳,获得10
15秒前
likunkkll发布了新的文献求助20
15秒前
平常的仙人掌完成签到,获得积分10
15秒前
16秒前
19秒前
19秒前
薄年完成签到,获得积分10
19秒前
小菜花发布了新的文献求助10
20秒前
bob发布了新的文献求助10
20秒前
研友_VZG7GZ应助WYang采纳,获得10
20秒前
科研通AI6应助高高冰旋采纳,获得10
20秒前
量子星尘发布了新的文献求助10
21秒前
123完成签到,获得积分10
21秒前
吴硫完成签到,获得积分10
21秒前
LKY完成签到,获得积分10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
SOFT MATTER SERIES Volume 22 Soft Matter in Foods 1000
Zur lokalen Geoidbestimmung aus terrestrischen Messungen vertikaler Schweregradienten 1000
Storie e culture della televisione 500
Selected research on camelid physiology and nutrition 500
《2023南京市住宿行业发展报告》 500
Food Microbiology - An Introduction (5th Edition) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4883807
求助须知:如何正确求助?哪些是违规求助? 4169216
关于积分的说明 12936623
捐赠科研通 3929578
什么是DOI,文献DOI怎么找? 2156156
邀请新用户注册赠送积分活动 1174580
关于科研通互助平台的介绍 1079365