Study on the Quantitative Assessment of Impact Damage of Yellow Peaches Using the Combined Hyperspectral Technology and Mechanical Parameters

Zhang, Feng; Li, Bin; Yin, Hai; Zou, Jiping; Ouyang, Aiguo

doi:10.1155/2022/7526826

Cited by 4 publications

(4 citation statements)

References 35 publications

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“…When these values were reached, the storage test was stopped. Therefore, fragrant pears were stored for 0, 5,10,15,20,25,30,35, and 40 days, and their hardness and SSC were measured every five days. A total of 1260 fragrant pears were needed for the storage test.…”

Section: Storage Tests Of Korla Fragrant Pearsmentioning

confidence: 99%

“…They discovered that, as storage temperature and impact strength increased, banana hardness decreased, weight loss rate increased, and peel brightness decreased significantly. Zhang et al [15] carried out impact damage tests on yellow peaches, releasing samples from different angles based on the pendulum principle to obtain samples with different damage degrees. Because of the swing angle and traction line shaking, the fruits rotate.…”

Section: Introductionmentioning

confidence: 99%

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Internal Quality Prediction Method of Damaged Korla Fragrant Pears during Storage

et al. 2023

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To increase the commercial value of damaged fragrant pears and improve marketing competitiveness, this study explored the degree of damage degree and effects of storage time on the internal quality of fragrant pears during storage and predicted the internal quality of fragrant pears using an adaptive neural fuzzy inference system (ANFIS). The internal quality prediction models of damaged fragrant pears during storage with eight membership functions were constructed, and the optimal model was chosen, allowing for accurate internal quality prediction of damaged fragrant pears. The research results demonstrated that the hardness and soluble solid content (SSC) of fragrant pears decrease as the storage time increases. Given the same storage time, the hardness and SSC of fragrant pears are negatively correlated to the degree of damage. The ANFIS modelling technique is feasible for predicting the internal quality of fragrant pears during storage. The best prediction performances for the hardness and SSC of fragrant pears, respectively, are displayed by the ANFIS using the input membership function of trimf (RMSE = 0.1362, R2 = 0.9752; RMSE = 0.0315, R2 = 0.9892). The findings of this study can be used to predict the storage quality of fruits.

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Section: Storage Tests Of Korla Fragrant Pearsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Internal Quality Prediction Method of Damaged Korla Fragrant Pears during Storage

et al. 2023

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“…Currently, mechanical parameters such as maximum stress, maximum force, absorbed energy, damage area, restitution coefficient, bruise susceptibility, and damage depth are used to characterize the extent of impact damage to fruit. [5][6][7] Stropek et al 8 designed a fruit collision device based on the principle of the single pendulum, and those mechanical parameters such as maximum stress, maximum force, impact time, maximum deformation, and restitution coefficient of the pear during the collision were obtained. The results of the study found that the maximum stress and permanent deformation were most suitable for characterizing the degree of impact damage of pear.…”

Section: Introductionmentioning

confidence: 99%

Quantitative study on impact damage of honey peaches based on reflection, absorbance, and Kubelka‐Munk spectrum combined with color characteristics

Li,

Zou,

et al. 2024

Journal of Chemometrics

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Impact damage is one of the key factors affecting the quality of honey peaches. Quantitative study of impact damage is of great significance for the sorting of postharvest quality of honey peaches. In order to realize the quantitative prediction of impact damage of honey peaches, the impact damage of honey peaches was quantitatively studied based on the fusion of color characteristics with reflection spectra (R), absorbance spectra (A), and Kubelka‐Munk spectra (K‐M). The mechanical parameters of honey peaches during collision were obtained using a single pendulum collision device. Reflectance spectra and color characteristics of damaged honey peaches were obtained by a hyperspectral imaging system. The R spectra were converted into A and K‐M spectra, and the partial least squares regression (PLSR) model was built based on the three spectra and the three spectra combined with color characteristics for quantitative prediction of mechanical parameters. The results show that the prediction performance of the PLSR model is improved by combining color features with spectral information. In order to eliminate the redundant information in the spectral data, the competitive adaptive reweighted sampling (CARS) algorithm was used to select the characteristic wavelengths of the three spectra, and the selected characteristic wavelengths were fused with the color features to establish the PLSR model. The results show that the PLSR model built by the characteristic wavelengths of the A spectrum combined with the color features has the best prediction performance for the mechanical parameters. The RP value for maximum force is 0.862, and the RP value for damage depth is 0.894. The results of this study not only provide the theoretical support for the quality sorting, packaging, and transportation of honey peaches but also provide the reference for the biomechanical properties of various agricultural products.

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“…The damage energy usually decreases with storage time and fruit maturity, indicating that energy is a suitable and easy measurable parameter to evaluate the degree of damage. In terms of fruit impact damage, researchers evaluated the damage degree of apples [23,24], palm fruit [25], yellow peaches [26], and pears [27], and revealed a relationship between impact height, contact material, impact damage volume, and impact energy, and obtained the surface pressure distribution of fruit under different energy free loads, as well as the critical energy value of pulp tissue damage. The damage resistance characteristics of fruit under the impact load of free fall were clarified.…”

Section: Introductionmentioning

confidence: 99%

Using the Equivalent Static Pressure Method to Assess Free Fall Damage of the Korla Fragrant Pear

Li,

Wang

et al. 2023

Horticulturae

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In order to explore the equivalent static condition of the impact damage of the Korla fragrant pear under free fall, the Korla fragrant pear was chosen as the research object in this paper, and the height of free fall and rebound were recorded by a high-speed camera to obtain the impact damage energy of the fragrant pear. In addition, a mechanical compression test was conducted on the fragrant pear to obtain its static deformation energy, and the equivalent static condition of the impact damage was calculated based on the mechanical energy conservation formula using the damage volume of the fragrant pear as the evaluation standard. The test verification was carried out on the damaged fragrant pear using a scanning electron microscope test. This study showed that the falling and rebound height of the fragrant pear within the range of the test parameters and under the free fall test conditions conform to linear fitting. The coefficient of determination (R2) was 0.9951, and the impact damage occurred when the corresponding energy reached 205.89 × 10−3 J. When the damage energy was within 203.4 × 10−3 J and 498.23 × 10−3 J, the static damage volume of the fragrant pear was linearly correlated to the impact damage volume, R2 was 0.9944, and the maximum deviation between the predicted damage volume and the actual damage volume of the fragrant pear in the verification test was 4.4%. These data can provide a reference for research on the equivalent method of impact damage of the Korla fragrant pear, and provide theoretical guidance to the fruit industry to reduce damage and increase efficiency.

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Study on the Quantitative Assessment of Impact Damage of Yellow Peaches Using the Combined Hyperspectral Technology and Mechanical Parameters

Cited by 4 publications

References 35 publications

Internal Quality Prediction Method of Damaged Korla Fragrant Pears during Storage

Internal Quality Prediction Method of Damaged Korla Fragrant Pears during Storage

Quantitative study on impact damage of honey peaches based on reflection, absorbance, and Kubelka‐Munk spectrum combined with color characteristics

Using the Equivalent Static Pressure Method to Assess Free Fall Damage of the Korla Fragrant Pear

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