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Journal ArticleDOI

Monitoring of fruit freshness using phase information in polarization reflectance spectroscopy.

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TLDR
The basic spectral feature of fruit reflectance in the visible region is considered in this work for the development of algorithms to nondestructively monitor the ripening and decay of apples using phase information of the reflected light.
Abstract
The control of food quality and freshness is of growing interest for both consumers and the food industry. The optical absorption and scattering properties in fruits, for example, changes with the physiological and biochemical alterations in the tissues during ripening and storage. The absorption and scattering properties are nondestructively monitored using near-infrared (NIR) spectroscopy. NIR has proved to be one of the most efficient and advanced tools for continuous monitoring and controlling of process and product quality in the food processing industry. However, NIR spectroscopy is costly and needs reliable calibration. The basic spectral feature of fruit reflectance in the visible region is considered in this work for the development of algorithms to nondestructively monitor the ripening and decay of apples using phase information of the reflected light. The objective is to develop simple and low-cost instruments that could revolutionize the on/inline quality monitoring of foods.

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Citations
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Journal ArticleDOI

Evolution of raw meat polarization-based properties by means of Mueller matrix imaging.

TL;DR: The obtained results are promising to develop a novel fast non-contact optical technique for monitoring of meat quality and are associated with the increase in birefringence and meat tenderness.
Journal ArticleDOI

DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor

TL;DR: Experiments on real data obtained from the DoFP camera show that the proposed system is non-destructive and capable of non-invasively estimating the age of the apple with an average accuracy of up to 92.57%.
Journal ArticleDOI

Polarization imaging based bruise detection of nectarine by using ResNet-18 and ghost bottleneck

TL;DR: Zhang et al. as mentioned in this paper developed an effective and efficient method, based on polarization imaging (PI) technology, for the detection of bruised nectarine fruit, which can effectively suppress the glare resulting from the smooth surface of nectarines, and overcome the interference of dark colors in detecting bruises.
Journal ArticleDOI

Optical diagnosis of gastric tissue biopsies with Mueller microscopy and statistical analysis

TL;DR: The statistical analysis of predicted images of gastric tissue sections with multi-curve fit suggests that Mueller microscopy combined with data regression and statistical analysis is an effective approach for quantitative assessment of the degree of inflammation in Gastric tissue biopsies with a high potential in clinical applications.
Proceedings ArticleDOI

Phase based Time Resolved Reflectance Spectroscopy using Time-of-Flight Camera for Fruit Quality Monitoring

TL;DR: In this article, a time-resolved phase-based reflectance spectroscopy was used for the nondestructive assessment of the internal quality of the fruits in this work.
References
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Journal ArticleDOI

Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review

TL;DR: An overview of NIR spectroscopy for measuring quality attributes of horticultural produce is given in this article, where the problem of calibration transfer from one spectrophotometer to another is introduced as well as techniques for calibration transfer.
Journal ArticleDOI

Possible correlation between blood glucose concentration and the reduced scattering coefficient of tissues in the near infrared

TL;DR: A frequency-domain near-infrared tissue spectrometer capable of measuring the reduced scattering coefficient of tissue with enough precision to detect changes in glucose levels in the physiological and pathological range is designed and constructed.
Journal ArticleDOI

Reflectance spectral features and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruit

TL;DR: In this article, a fruit reflectance spectra of five apple (Malus domestica Borkh) cultivars (Zhigulevskoe, Antonovka, Granny Smith, Golden Delicious and Renet Simirenko) with a wide range of peel pigment (chlorophylls a and b, carotenoids and anthocyanins) content have been studied to develop non-destructive techniques for pigment assessment.
Journal ArticleDOI

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

TL;DR: A detailed overview of the comparative introduction, latest developments and applications of computer vision systems in the external quality inspection of fruits and vegetables is presented.
Journal ArticleDOI

Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique

TL;DR: In this paper, a spatially resolved steady-state diffuse reflectance technique was used to measure the optical properties of fresh fruits and vegetables over the visible and short-wave near-infrared region (500-1000 nm).
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