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Development of a multispectral imaging system for apple firmness prediction

Jason Sun, Rainer Kunnemeyer, Andrew McGlone, Philip Rowe, Sadhana Talele
2015 2015 9th International Conference on Sensing Technology (ICST)  
Here we report on the development of a static multispectral imaging system (MSI) that was used to validate the potential of the technique for high-speed commercial grading.  ...  Multispectral imaging has been studied in recent years as a means of assessing fruit firmness.  ...  CONCLUSION A multispectral imaging system with four lasers and a CMOS camera provides an efficient means of validating the technique of using laser scattering information to predict apple firmness.  ... 
doi:10.1109/icsenst.2015.7438390 dblp:conf/icsenst/SunKMRT15 fatcat:pfaytpwm3zadxmzhp5lwopccge


2004 Journal of texture studies  
The objective of this research was to predict fruit firmness by developing and evaluating a multispectral imaging system for real time acquisition of scattering images from apple fnrit.  ...  A circular broadband light beam was used to generate light backscattering at the suqace of apple fruit and scattering images were acquired, using a common aperture multispectral imaging system, from Red  ...  SCHEMATIC OF THE MULTISPECTRAL IMAGING SYSTEM FOR ACQUIFUNC SPECTRAL SCATI'ERING IMAGES FROM AN APPLE FRUIT AT FOUR SPECTRAL BANDS SIMULTANEOUSLY PREDICTION OF APPLE FRUIT FIRMNESS 261 FIG. 2.  ... 
doi:10.1111/j.1745-4603.2004.tb00837.x fatcat:w42ssuhxdbe7xj24fcygoa2cni

Improving apple fruit firmness predictions by effective correction of multispectral scattering images

Yankun Peng, Renfu Lu
2006 Postharvest Biology and Technology  
Firmness prediction models were developed by multi-linear regression against MLD parameters for two apple cultivars.  ...  The objective of this research was to improve the multispectral imaging system used in our previous studies and refine scattering analysis methods for more effectively measuring apple fruit firmness.  ...  Yonggang (Gary) Qin for their technical support in this research.  ... 
doi:10.1016/j.postharvbio.2006.04.005 fatcat:ziveqfz4bfbxld5sqitre7e2ga

Multispectral imaging for predicting firmness and soluble solids content of apple fruit

Renfu Lu
2004 Postharvest Biology and Technology  
The multispectral imaging technique is promising for predicting firmness and sweetness of apples.  ...  This research investigated the feasibility of using multispectral imaging to quantify light backscattering profiles from apple fruit for predicting firmness and SSC.  ...  Fig. 1 . 1 Schematic of a multispectral imaging system for measuring light scattering profiles from apple fruit.  ... 
doi:10.1016/j.postharvbio.2003.08.006 fatcat:333gjwm7xzgbfl2am2fnjnmjza

Determining quality and maturity of pomegranates using multispectral imaging

Rasool Khodabakhshian, Bagher Emadi, Mehdi Khojastehpour, Mahmood Reza Golzarian
2017 Journal of the Saudi Society of Agricultural Sciences  
In this paper, we investigated the use of multispectral imaging technique to quantify pomegranate fruit quality.  ...  The results demonstrated the capability of multispectral imaging and chemometrics as useful techniques to nondestructively monitoring pomegranate main quality attributes.  ...  Acknowledgment The authors would like to thank Ferdowsi University of Mashhad for providing the laboratory facilities and financial support (Research Project No. of 28580).  ... 
doi:10.1016/j.jssas.2015.10.004 fatcat:3cipwfjewzezvhituayiffidou

Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

D. Lorente, N. Aleixos, J. Gómez-Sanchis, S. Cubero, O. L. García-Navarrete, J. Blasco
2011 Food and Bioprocess Technology  
Abstract Hyperspectral imaging systems are starting to be used as a scientific tool for food quality assessment.  ...  Therefore, recent works have focused on the development of new systems based on this technology that are capable of analysing quality features that cannot be inspected using visible imaging.  ...  de España (INIA) through research project RTA2009-00118-C02-01 and by the Ministerio de Ciencia e Innovación de España (MICINN) through research project DPI2010-19457, both projects with the support of  ... 
doi:10.1007/s11947-011-0725-1 fatcat:4li4eo7ucreodepraa3fj2xmum


Muhua Liu, Duan Wumao, Huaiwei Lin
2009 IFIP Advances in Information and Communication Technology  
The best model with three wavelengths was able to predict apple soluble solid content with r=0.831, SEC=0.55 Brix and predict apple firmness with r=0.880, SEC=0.52 N with four wavelengths.  ...  The multi-linear regression model using Lorentzian parameters for predicting apple firmness and soluble solids content were built using best single wavelength, double wavelengths, three wavelengths and  ...  University of Aviation of China Education Ministry for assistance.  ... 
doi:10.1007/978-1-4419-0211-5_34 fatcat:23kspa2dpzfnjees6pvhqjqi5i

Rapid Identification of Apple Maturity Based on Multispectral Sensor Combined with Spectral Shape Features

Mengsheng Zhang, Maosheng Shen, Yuge Pu, Hao Li, Bo Zhang, Zhongxiong Zhang, Xiaolin Ren, Juan Zhao
2022 Horticulturae  
The results show that the multispectral sensor is an appliable choice for the development of the portable detection device of apple maturity, and the data processing method proposed in this study provides  ...  In this study, a portable visible and near-infrared (VIS/NIR) analysis device prototype was developed based on a multispectral sensor and applied to 'Fuji' apple maturity detection.  ...  'Fuji' apple quality changes at different maturity levels: (a) apple fruit and starch staining image, (b) apple-pulp puncture force-displacement curve, and (c-i) the distribution of SSC, acidity, firmness  ... 
doi:10.3390/horticulturae8050361 fatcat:s6wdphnainhl5i5xqphnh5gg7u

Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review

Yuzhen Lu, Yuping Huang, Renfu Lu
2017 Applied Sciences  
Over the past 15 years, hyperspectral imaging has emerged as a new generation of sensing technology for non-destructive food quality and safety evaluation, because it integrates the major features of imaging  ...  This paper first provides a brief overview of hyperspectral imaging configurations and common sensing modes used for food quality and safety evaluation.  ...  Acknowledgments: The authors are grateful to three anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.3390/app7020189 fatcat:smstthtwbzbrxhbgjp3vcqf2mu

Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content

Yankun Peng, Renfu Lu
2008 Postharvest Biology and Technology  
model for predicting fruit firmness and soluble solids content (SSC) of 'Golden Delicious' apples.  ...  Hyperspectral scattering is a promising technique for nondestructive sensing of multiple quality attributes of apple fruit.  ...  by: (a) setup of the imaging system and (b) the curved apple fruit surface.  ... 
doi:10.1016/j.postharvbio.2007.09.019 fatcat:pii7k4rpxbabtlci43oo5c3e2y

Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks

Gamal ElMasry, Ning Wang, Clément Vigneault
2009 Postharvest Biology and Technology  
A hyperspectral imaging system was established to acquire and pre-process apple images, as well as to extract apple spectral properties.  ...  These results show the potential of the proposed techniques for detecting chilling injury and predicting apple firmness.  ...  in an industrial-scale multispectral imaging system for identifying chilling injured apples.  ... 
doi:10.1016/j.postharvbio.2008.11.008 fatcat:tt5jtjfsirejnktrd6xufsibni

Multispectral images of peach related to firmness and maturity at harvest

L. Lleó, P. Barreiro, M. Ruiz-Altisent, A. Herrero
2009 Journal of Food Engineering  
Keywords: Fruit Multispectral Vision Ripeness Firmness Maturity Non-destructive Quality Visible spectra Chlorophyll Peach Two multispectral maturity classifications for red soft-flesh peaches ('Kingcrest  ...  R/IR histograms were able to correct the effect of 3D shape on light reflectance and thus more Gaussian histograms were produced than R images.  ...  Lu (2004) used multispectral images at five spectral bands between 680 nm and 1060 nm, selected on literature review, to quantify light backscattering profiles of apple fruit for predicting firmness and  ... 
doi:10.1016/j.jfoodeng.2009.01.028 fatcat:wjc2fvk6a5etzdsqxt5vk7agjq

Hyperspectral Imaging and Their Applications in the Nondestructive Quality Assessment of Fruits and Vegetables [chapter]

Xiaona Li, Ruolan Li, Mengyu Wang, Yaru Liu, Baohua Zhang, Jun Zhou
2018 Hyperspectral Imaging in Agriculture, Food and Environment  
Hyperspectral imaging technique integrates both the imaging and spectroscopic techniques into one system, and it can acquire a set of monochromatic images at almost continuous hundreds of thousands of  ...  This chapter presents a detailed overview of the introduction, latest developments and applications of hyperspectral imaging in the nondestructive assessment of fruits and vegetables.  ...  and algorithms, as well as rapid multispectral imaging system development.  ... 
doi:10.5772/intechopen.72250 fatcat:c2zvitafozeg7an46avuiqycdy

Advances in Non-Destructive Early Assessment of Fruit Ripeness towards Defining Optimal Time of Harvest and Yield Prediction—A Review

2018 Plants  
An example of a typical approach in developing a work flow for predicting an optimal harvest date is given in Figure 1 .  ...  Such predictions need to account for changes in environmental conditions and, being a primary factor affecting the rate of plant development [19] , air temperature is a key parameter utilized in models  ...  Multispectral Imaging (MSI) Multispectral imaging is a form of HSI that collects data at specific wavelengths instead of scanning the whole wavelength range.  ... 
doi:10.3390/plants7010003 pmid:29320410 pmcid:PMC5874592 fatcat:4rrqhloulbaule6ih36vykmbx4

UV/blue Light-induced Fluorescence for Assessing Apple Quality
자외선 유도 형광의 사과 성숙도 평가 적용

Hyun-Kwon Noh, Renfu Lu
2010 Journal of Biosystems Engineering  
Calibration models for each of the three illumination time periods were developed to predict fruit quality indexes.  ...  Overall, better predictions were obtained for apple skin chroma and hue and flesh hue with values for the correlation coefficient of validation between 0.80 and 0.90 for both GD and RD.  ...  Bodria et al. (2004) used a fluorescence imaging system equipped with a UVblue actinic light to obtain fluorescence images of fruit in which the gray level of pixels with the firmness of fresh apples.  ... 
doi:10.5307/jbe.2010.35.2.124 fatcat:v5hxh2hruvedjfqwfcm36o3p2a
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