Recent application of imaging techniques for fruit quality assessment

Pathmanaban, P.; Gnanavel, B. K.; Anandan, Shanmuga Sundaram

doi:10.1016/j.tifs.2019.10.004

Cited by 86 publications

(38 citation statements)

References 75 publications

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“…The total water content of the peach gradually decreased, consistent with the result of water loss (Figure 8). The relaxation signal of T 2 revealed fruit tissue damage and the continuous conversion of bound water to free water because the cell wall was destroyed and water bonding was reduced 52 …”

Section: Resultsmentioning

confidence: 99%

Enhanced mechanical and antioxidant properties of biodegradable poly (lactic) acid‐poly(3‐hydroxybutyrate‐co‐4‐hydroxybutyrate) film utilizing α‐tocopherol for peach storage

et al. 2020

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Poly (lactic) acid-poly(3-hydroxybutyrate-co-4-hydroxybutyrate) (PLA-PHB) blends were prepared through melting method and incorporated with α-tocopherol. The structural, thermal, mechanical and antioxidant properties of resulting active films were characterized, and its preservation effect on peaches (Prunus persica L.) was investigated. Results revealed that the glass transition temperature (T g) of PLA film was reduced from 53.2 C to 39.7 C after addition of plasticizer but increased again to 43.3 C after supplementation with α-tocopherol. PLA-PHB are polyesters with carboxylic groups that interacted with the hydroxide groups of α-tocopherol. Furthermore water vapour permeability, gas permeability and elongation at break were significantly improved, and 72.1% 2,2-diphenyl-1-picrylhydrazyl free radical scavenging activity was observed. PLA-PHB-α-tocopherol group revealed higher combined water and less oxidative spoilage through low-field nuclear magnetic resonance (LF-NMR) and effectively extended the shelf life of peach. Thus, the plasticized PLA-PHB-α-tocopherol film can be used as an active biodegradable packaging for fruits and vegetables.

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Section: Resultsmentioning

confidence: 99%

Enhanced mechanical and antioxidant properties of biodegradable poly (lactic) acid‐poly(3‐hydroxybutyrate‐co‐4‐hydroxybutyrate) film utilizing α‐tocopherol for peach storage

et al. 2020

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“…The HSI is an emerging non-destructive testing (NDT) technique that combines spectral technology with imaging technology. In recent years, the HSI has developed rapidly, and been widely used to test the quality of agricultural products (APs) [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Saccharinity Test on Cherry Tomatoes Based on Hyperspectral Imaging

Liu¹,

Shi²,

Zhang³

et al. 2020

IJDNE

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Based on the hyperspectral imaging (HSI) technique, this paper attempts to test the saccharinity of three varieties of cherry tomatoes in a nondestructive manner. The cherry tomato samples of the three varieties were collected, and kept at room temperature for 12h. Then, the spectral curves of the samples were obtained between the wavelengths of 914.91nm and 1,661.91nm. After that, the feature bands were extracted by three algorithms, namely, competitive adaptive reweighted sampling (CARS), successive projection algorithm (SPA) and SPA-CARS. The samples were divided into a correction dataset and a prediction dataset at the ratio of 2:1. Next, the feature bands extracted by the three algorithms were combined with the partial least squares (PLS) and least squares-support vector machine (LS-SVM) into six saccharinity prediction models. Finally, the prediction results of the six models were compared, revealing that the CARS-LS-SVM achieved the best performance with a prediction accuracy of >92%. The evaluation indices of this model are as follows: the correlation coefficient of correction dataset (R), 0.9696; the correlation coefficient of prediction dataset (R), 0.9220; the root mean square error of correction dataset (RMSEC), 0.2768; the root mean square error of prediction dataset (RMSEP), 0.4390. The research results lay the basis for industrial grading of saccharinity of cherry tomatoes in a nondestructive manner.

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“…Color is the preferred index for farmers to evaluate tomato maturity, and the most critical factor for consumers to accept (Leon, Mery, Pedreschi, & Leon, 2006). Extracting the color information of tomatoes is a significant method to identify maturity stages (Lu & Lu, 2018; Pathmanaban, Gnanavel, & Anandan, 2019). In this study, the collection of tomato images was conducted in the laboratory under the fixed light sources.…”

Section: Methodsmentioning

confidence: 99%

Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices

Jiang

Bian

Wang

et al. 2020

J Food Process Engineering

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The identification of tomato maturity is significant to extend the fruit shelf life and generate the scientific processing strategy. Tomato maturation is a gradual process, and the internal physicochemical characteristics are most related to maturity states. Merely choosing visual features to identify maturity would cause discriminant errors. This study designed a simple and effective identification method for tomato maturity by integrating color moments and physicochemical indices. The color moments were extracted by an adaptive K-means clustering image processing program, and firmness, soluble solid content and sensory evaluation were measured by professional techniques. The optimal multidimensional index set was formulated according to color moments and physicochemical indices simultaneously. To reduce the confusion between adjacent stages, a novel multinomial logistic regression with kernel clustering (MLRKC) method was designed to identify maturity, and the accuracy was 95.83% for tomato testing set. Moreover, the traditional image features set and some classic methods were applied to verify the performance of proposed method, respectively. Finally, the proposed method was applied to identify the tomatoes in the realistic circumstance. The identification results demonstrated satisfactory performances and promising applications of MLRKC method integrating color moments and physicochemical indices. Practical Applications Tomato is a climacteric fruit which could mature after harvesting. Identification tomato maturity stage is significant to decide the optimal transportation modes, inventory strategies and processing technology. Traditional methods for identifying tomato maturity were high-cost and complicated, which were inefficient for small-scale production. The method proposed in this study could simply the identification steps and reduce the operating cost, and also provide more accurate and valuable information. The investigated theoretical basis could be incorporated into the small farmers and small-scale food processing companies to achieve tomato precision processing with low additional costs. 1 | INTRODUCTION Tomato is rich in nutrients such as vitamins, carotenes, dietary fiber, and is an essential part of human daily diets (Feng, Zhang, Adhikari, & Guo, 2019). As one of the climacteric fruits, tomato has the postharvest maturity characteristics, that is, maturing after harvesting

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Recent application of imaging techniques for fruit quality assessment

Cited by 86 publications

References 75 publications

Enhanced mechanical and antioxidant properties of biodegradable poly (lactic) acid‐poly(3‐hydroxybutyrate‐co‐4‐hydroxybutyrate) film utilizing α‐tocopherol for peach storage

Enhanced mechanical and antioxidant properties of biodegradable poly (lactic) acid‐poly(3‐hydroxybutyrate‐co‐4‐hydroxybutyrate) film utilizing α‐tocopherol for peach storage

Saccharinity Test on Cherry Tomatoes Based on Hyperspectral Imaging

Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices

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