Technologies for Nondestructive Quality Evaluation of Fruits and Vegetables

Abbott, James; Lu, Renfu; Upchurch, B. L.; Stroshine, R. L.

doi:10.1002/9780470650646.ch1

Cited by 44 publications

(35 citation statements)

References 225 publications

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“…At 680 nm, spectra curve for raw juice displayed a weak peak while this peak was not observed for clear juice curve. The peak at 680 nm could be related to chlorophyll pigments [13]. For the clarified juice sample, the chlorophyll content was eliminated through clarification process.…”

Section: Overview Of the Spectra And Statistical Values Of Brix And Polmentioning

confidence: 99%

Prediction of Sugarcane Quality from Juice Samples using Portable Spectroscopy

Nawi

Chen²,

Jensen³

2014

J MECH ENG SCI

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Rapid determination of sugarcane quality using low-cost and portable equipment is more practical for field use. Thus, this study explored the potential application of a portable visible and shortwave near infrared spectroradiometer (VNIRS) to predict pol and brix from sugarcane juice samples. A total of 100 sugarcane juice samples for each clear and raw juice samples were assessed. The spectral data were collected by scanning the juice samples in a cuvette with 10 mm path length using transmittance mode. Partial least squares (PLS) and principal component analysis (PCA) were applied to interpret the spectra and develop both calibration and prediction models. The prediction performances for the clear juice samples were good with coefficient of determination (R 2 ) values of pol and brix were 0.85 and 0.84, respectively. For the raw juice samples, the prediction performances were acceptable with R 2 values for pol and brix were 0.73 and 0.74, respectively. Based on these results, it was concluded that the VNIRS combined with PLS models could be applied to predict sugarcane quality from both clear and raw sugarcane juices.

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Section: Overview Of the Spectra And Statistical Values Of Brix And Polmentioning

confidence: 99%

Prediction of Sugarcane Quality from Juice Samples using Portable Spectroscopy

Nawi

Chen²,

Jensen³

2014

J MECH ENG SCI

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“…Since the 1990s several research groups Abbott et al, 1997) and others have done extensive research on simulating sonic vibrational behavior for different shapes of fruits.…”

Section: Acoustic Response For Firmness and Structural Defectsmentioning

confidence: 99%

“…A number of reviews on non-invasive, fast technologies for fruit and vegetables quality sensing have been published (Chen and Sun, 1991;Abbott et al, 1997;Studman, 2001;Butz et al, 2005). Many of these review papers covered a broad range of sensing techniques, with a selected few that also discussed the feasibility of these techniques for industrial applications (Abbott, 2004;Walsh, 2005).…”

Section: Introductionmentioning

confidence: 99%

Sensors for product characterization and quality of specialty crops—A review

Ruiz-Altisent

Ruiz-García

Moreda

et al. 2010

Computers and Electronics in Agriculture

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192

112

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a b s t r a c tThis review covers developments in non-invasive techniques for quality analysis and inspection of specialty crops, mainly fresh fruits and vegetables, over the past decade up to the year 2010. Presented and discussed in this review are advanced sensing technologies including computer vision, spectroscopy, X-rays, magnetic resonance, mechanical contact, chemical sensing, wireless sensor networks and radiofrequency identification sensors. The current status of different sensing systems is described in the context of commercial application. The review also discusses future research needs and potentials of these sensing technologies. Emphases are placed on those technologies that have been proven effective or have shown great potential for agro-food applications. Despite significant progress in the development of non-invasive techniques for quality assessment of fruits and vegetables, the pace for adoption of these technologies by the specialty crop industry has been slow.

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“…Acoustic impulse response method is used to analyse the texture of fruits [45][46] . The acoustic impulse resonance frequency (AIF) technique uses the natural frequencies of the intact fruit obtained by recording the sound, which is produced by hitting the fruit and then performing a Fourier transformation on the signal.…”

Section: Acoustic Impulse Response Methodsmentioning

confidence: 99%

Non-destructive Quality Monitoring of Fresh Fruits and Vegetables

Chauhan¹,

Lakshmi²,

Pandey³

et al. 2017

Def. Life. Sc. Jl.

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Quality determines the shelf life as well as selling price of fresh fruit or vegetable and therefore, quality monitoring and testing of fresh commodities have paramount importance in their postharvest handling and supply chain management. Most of the methods used to assess fruits and vegetables quality are destructive in nature. Nowa-days, various mechanical, optical, electromagnetic, and dynamic non-destructive methods are gaining importance due to ease in operations, faster turn over and reliability. Some of the non-destructive techniques (NDT) are currently being used in laboratories, research institutions and food packaging and processing industries, whereas, some methods are still at developmental stage. Various NDT with respect to their principle and applications such as impact test, electronic nose, time-resolved reflectance spectrometry, near infrared spectroscopy, nuclear magnetic resonance, X-Ray, ultra sonic, acoustic impulse response method, electrical conductivity methods etc., are discussed in this review.

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Technologies for Nondestructive Quality Evaluation of Fruits and Vegetables

Cited by 44 publications

References 225 publications

Prediction of Sugarcane Quality from Juice Samples using Portable Spectroscopy

Prediction of Sugarcane Quality from Juice Samples using Portable Spectroscopy

Sensors for product characterization and quality of specialty crops—A review

Non-destructive Quality Monitoring of Fresh Fruits and Vegetables

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