Development of a dielectric spectroscopy technique for the determination of apple (Granny Smith) maturity

Dielectric spectroscopy technique for detection of human respiratory syncytial virus

“…Another important item of information from the ε r 00 spectra is the relaxation frequency (f c ). The f c is found at the peak value of ε r 00 and is related to the relaxation time (τ) in Equation (2). The τ is a measure of the mobility of the dipoles in a material.…”

“…Dielectric spectroscopy is very useful in several research areas including agricultural applications, medical diagnosis, and biomedical applications. Agricultural applications have included the development of grain moisture meter using microwave attenuation and moisture density, or determination of apple maturity by dielectric measurement, and microwave non‐destructive evaluation of Malaysian timber . Medical diagnosis applications have included dielectric properties characterization of breast cancer tissue using electromagnetic waves from 0.5 to 50 GHz, the effects on dielectric properties of breast tissues with changing physiological conditions, or variations in dielectric constant and conductivity, with frequency, of abnormal cerebrospinal fluid …”

Determination of the complex permittivity of cherry, pulped, green, and roasted coffee using a planar dielectric platform and a coaxial probe between 0.3 and 6 GHz

“…The interaction between these frequency ranges may result interesting and contribute to the estimation of the moisture content of the coffee cherries. [27] The biplot for the moisture content of green coffee is presented in Figure 7. The first two latent variables represent 83.9% of the variability of the permittivity of the samples, and 28.5% of the variability of the moisture content.…”

Artificial Neural Network model for microwave propagation in water melon

“…The observed data were divided into training set, validation set and test set and the network trained using LevenbergMarquardt backpropagation algorithm and the performance was evaluated using the Mean Squared Error. The performance of the neural network was evaluated against the calculated values obtained from the model in (3) and (4). The relationship between the observed attenuation per unit volume and the output of the neural network is described in figure 1.…”