Non-destructive detection of the fruit firmness of Korla fragrant pear based on electrical properties

Abstract

In order to achieve the non-destructive detection of the firmness of Korla fragrant pear during the ripening period, the characteristic variables integrating the parallel equivalent inductance (Lp), quality factor (Q), parallel equivalent capacitance (Cp), dissipation factor (D), parallel equivalent resistance (Rp) and impedance (Z) were formulated through principal component analysis (PCA). Further, based on the characteristic variables, the models were established for predicting the firmness of Korla fragrant pear by using the generalized regression neural network (GRNN) and back-propagation neural network (BPNN). The results showed that firmness has significant correlations with the six electrical parameters. The first two principal components (PCs) were selected as the characteristic variables of the electrical parameters. GRNN exhibited the best performance in predicting firmness (R 2 =0.9628, RMSE=0.383). The results could provide important references for non-destructive detection of the quality of Korla fragrant pear.

Non-Destructive Testing of the Internal Quality of Korla Fragrant Pears Based on Dielectric Properties

“…Pear fruits are living organisms that decompose respiratory substrates such as starches, sugars and organic acids into CO 2 and water through respiration. Changes in the composition of water and other substances affect the spatial charge distribution inside the fruit [7]. The distribution and intensity of the bioelectric field affect the dielectric properties of fruit on a macroscopic level.…”

“…Dielectric property detection is an emerging technology that is rapid, sensitive, simple and non-destructive [7]. Based on internal physiological and chemical changes in response to an applied electric field, dielectric property technology has been applied to the quality detection of various agricultural products.…”

Dielectric Spectroscopy for the Non-Destructive Characterization of Biomaterials: Fundamentals, Techniques, and Experimentations

“…The depth of penetration showed a decrease as the frequency and temperature increased Tomatoes Maturity [77] The values exhibit a downward trend as the frequency increases. Additionally, at elevated temperatures, there is a decrease in the dielectric constant and an increase in the dielectric loss [78] Determination of varieties [79] The depth of penetration exhibits a reduction as the frequency and loss factor increase [80] Potatoes Quality evaluation [47] Dielectric properties decrease with frequency [81] Pears Determination of firmness [82] Qualitative characteristics. [83] Higher values for higher bruise levels and lower moisture contents [84] Peaches…”

Non-Destructive Detection of Golden Passion Fruit Quality Based on Dielectric Characteristics

“…The study of the relationship between dielectric properties and the quality of fruit, as well as the exploration of methods for the non-destructive evaluation of fruit quality based on dielectric properties, has attracted widespread attention. Both domestic and international research on fruit and vegetables like bananas [14], kiwifruit [15], carrots [16], Korla pears [17,18] and mangoes [19] involved measuring their electrical properties at low frequencies to determine the physicochemical qualities. The current research methods have shifted from early statistical analysis of dielectric properties to establishing multivariate models based on dielectric properties combined with various algorithms.…”