Non-destructive Quality Monitoring of Fresh Fruits and Vegetables

Chauhan, O. P.; Lakshmi, S.; Pandey, Arun Kumar; Ravi, N.; Gopalan, Natarajan; Sharma, Rakesh Kumar

doi:10.14429/dlsj.2.11379

Cited by 46 publications

(24 citation statements)

References 42 publications

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“…However, the performance of these tools differ with diverse agricultural fruits and vegetables (shown in Table ); therefore, large‐scale implementation of these technologies has not been achieved for industrial application. According to Chauhan et al (), these kinds of techniques will require close, interactive association between researchers and the industry in order to develop NMR equipment that is reliable, cost‐efficient, and capable of meeting technical requirements (Chauhan et al, ).…”

Section: Applications Of Lf‐nmr and Mri Techniques On Fruits And Vegementioning

confidence: 99%

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Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Kamal

Cheng

Khan

et al. 2019

J Food Process Preserv

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This paper provides an overview of nondestructive imaging techniques for evaluating internal and external quality characteristics of fruits and vegetables and the future prospects of those technologies within the food industry. Low‐field nuclear magnetic resonance (LF‐NMR) and magnetic resonance imaging (MRI) are viable technologies in assessing water status, which can significantly impact the quality of fruits and vegetables' texture, tenderness, and microstructure. This review examined some of the most widely studied agricultural fruits and vegetables, described NMR/MRI techniques, and explained the benefits of their implementation in the assessment of internal quality attributes such as internal defects, water content, nutrition content, maturity, fruit firmness, and seed detection, as well as physicochemical and microbiological quality in both commercial and industrial applications. In spite of considerable developments in the quality measurement of fruits and vegetables and their products, the implementation of these techniques at an industrial level has been unsatisfactory. Practical applications This paper aimed to present a magnificent knowledge about fruit/vegetable processing and preservation techniques pertaining to quality evaluation. If the appropriate skills and the introduced tools are combined and utilized in an innovative and suitable way, a high quality of fruit/vegetable products with a high nutritional value can be achieved. This will be beneficial for both producers and customers.

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Section: Applications Of Lf‐nmr and Mri Techniques On Fruits And Vegementioning

confidence: 99%

“…According to Chauhan et al (2017), these kinds of techniques will require close, interactive association between researchers and the industry in order to develop NMR equipment that is reliable, costefficient, and capable of meeting technical requirements (Chauhan et al, 2017).…”

Section: Evaluation Of Water Activity Physicochemical and Microbiomentioning

confidence: 99%

Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Kamal

Cheng

Khan

et al. 2019

J Food Process Preserv

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“…As the volume of global production of fruits increases, the use of a spectroscopic method for the purposes of monitoring surface condition and controlling the quality of the fruits in food and agricultural industries is continuously increasing, especially in determining the ripening status [1]. This is because the method is rapid, simple, and accurate for the above-mentioned purposes, as the visual colors of the fruit skin are directly related to the wavelengths of the light reflected from objects' surfaces, especially in the visible and near infrared spectral ranges.…”

Section: Introductionmentioning

confidence: 99%

Detecting Green Mold Pathogens on Lemons Using Hyperspectral Images

et al. 2020

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Hyperspectral images in the spectral wavelength range of 500 nm to 650 nm are used to detect green mold pathogens, which are parasitic on the surface of lemons. The images reveal that the spectral range of 500 nm to 560 nm is appropriate for detecting the early stage of development of the pathogen in the lemon, because the spectral intensity is proportional to the infection degree. Within the range, it was found that the dominant spectral wavelengths of the fresh lemon and the green mold pathogen are 580 nm and 550 nm, respectively, with the 550 nm being the most sensitive in detecting the pathogen with spectral imaging. The spectral intensity ratio of the infected lemon to the fresh one in the spectral range of 500 nm to 560 nm increases with the increasing degree of the infection. Therefore, the ratio can be used to effectively estimate the degree of lemons infecting by the green mold pathogens. It also shows that the sudden decrease of the spectral intensity corresponding to the dominant spectral wavelength of the fresh lemon, together with the neighboring spectral wavelengths can be used to classify fresh and contaminated lemons. The spectral intensity ratio of discriminating the fresh lemon from the infected one is calculated as 1.15. accumulated in the human body, the long-term exposure to them can induce damages to internal organs. Therefore, they are a significant threat to human health. In fact, it is known that more than a billion people suffer from the diseases, and more than 1.5 million people die each year by the diseases [7]. Among the fungi, the pathogen Penicillium digitatum (green mold) is the fungus that is dominantly found in the skins of citrus fruits, especially in lemons, and is very abundant in our environment [8,9]. The diseases in fruits outbreak when the biological pathogens infiltrate the fruits' surfaces. As a consequence, the fruits' skins change their colors, and other healthy fruits near the infected ones are contaminated. Thus, the infected fruits should be separated from the healthy ones. For this purpose, a quick and accurate method of identifying the infected fruits, i.e., inspecting the large amount of fruits in real-time and quantifying the degree of the infections should be devised. In this regard, the spectral imaging, which photographs an object or scene with the use of a spectral filter, has been recognized as a very promising inspection method of the qualities of agricultural products and foods [10][11][12][13][14][15][16]. This is because the imaging can reveal physical, chemical, geometrical, and optical parameters of the objects being inspected, whereas the spectroscopic method can provide the optical parameter only, because it can measure only the spectral intensity. However, the imaging has not been developed so far for the quantifying the degree of the infections. The separation between the fresh and infected fruits should be based on the quantification to prevent from discarding good ones with only insignificant amount of the infection. This is why the harvested ci...

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“…ese methods are obviously more reliable; however, they are time-consuming and cost intensive and require specialized sample preparation. erefore, the methods in this class are not suitable for industries such as packaging industry as it ruptures the fruit tissue and evaluation of whole lot cannot be done [2]. Trained panels are in another way abundantly used to evaluate quality of fruits and vegetables.…”

Section: Introductionmentioning

confidence: 99%

“…Firmness measurement is one of the most common methods used to determine maturity and/or ripeness. Evaluation of fruit ripeness or maturity is essential for timing in finding optimal harvesting, transportation-marketing, and consumption [2,14]. Due to the fact that ripe fruit is very sensitive to mechanical damage, microbiological decay, and physiological deterioration, ultrasonic fruit quality evaluation can be a potential solution as a nondestructive system [15].…”

Section: Introductionmentioning

confidence: 99%

Evaluation Performance of Ultrasonic Testing on Fruit Quality Determination

Yildiz

Özdemir

Uluışık

2019

Journal of Food Quality

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There are several destructive and nondestructive methods for quality evaluation of agricultural products. Most of the employed traditional techniques are time-consuming and involve considerable degree of manual works. Destructive methods provide reasonable success rate of quality determination of fruits; however, they practically have many concerns about effectiveness, time, and cost. Therefore, developing portable, fast, and cost-effective techniques without harming fruits are desired for fruit quality evaluation. This work aims to develop a complete nondestructive quality evaluation system with (a) ultrasonic testing and (b) volume estimation by automatic machine vision techniques. The ultrasonic system consisted of a programmable bipolar remote pulser unit, a couple of piezoelectric probes for ultrasonic signal acquisitions as a transmitter and a receiver, an oscilloscope, and a computer. Visual appearance (size/volume) was determined using a machine vision system based on image processing techniques. Five different images of a fruit from different angles were captured by high-resolution digital cameras. Volume of the fruit was computed after horizontal and vertical distance of the fruit’s images captured. The calculated volume values by the computer vision system are validated with the theoretical values. Although nondestructive ultrasonic estimation and volume estimation by image processing methods are cheap, fast, and practical, the results obtained in our experiments concluded that these methods are not as reliable as claimed in the literature.

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Non-destructive Quality Monitoring of Fresh Fruits and Vegetables

Cited by 46 publications

References 42 publications

Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Detecting Green Mold Pathogens on Lemons Using Hyperspectral Images

Evaluation Performance of Ultrasonic Testing on Fruit Quality Determination

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