The egg is known nutrient that in terms of quality is in second place after breast milk. Eggs are not only one of the highest sources of protein, but also contain almost all minerals and vitamins needed by the body except the vitamin C. Nowadays, the use of egg, directly and indirectly, has increased and therefore, it is important to assess its quality. The concept of egg quality is complex and include its size and shape, color and shell quality, internal quality, and defects such as blood and meat spots. The modern poultry industry is looking for new management methods to replace traditional methods for egg processing and grading. In recent years, great advances achieved in the development of non-destructive methods to estimate the quality parameters of agricultural products that in many cases have arrived at practical application. Visible and near-infrared (Vis/NIR) spectroscopy is one the nondestructive techniques that is regarded as optical methods. Waveguide technique is also another nondestructive technique that works based on dielectric concept. In fact, the waveguides are hollow tubes that are made from hard metals or flexible materials for releasing the waves in their internal insulation that is mostly air. In this study, a system was designed and used to collect the Vis/NIR spectra in the range of 400 to 1100 nm in both transmission and intractance modes of measurement. Also, a waveguide was developed to acquire the dielectric spectra of the egg samples in 0.9 to 3.5 GHz. The quality parameters of the egg are included the eggshell strength, thick albumen height (TAH), Haugh unit (HU), pH of albumen, yolk coefficient (YC), air cell height (ACH), and yolk color (L*,a*,b*). Vis/NIR spectral measurement system comprised light sources with adjustable light intensity, PDA spectrometer equipped with a CCD detector, fiber optics probe, and flexible chamber. For waveguide method, the whole set up was initially simulated in HFSS software and then was tested using a spectrum analyzer. For acquiring the waveguide spectra of egg samples, a system included an HP 8510C network analyzer with the ability to display 800 points in the specified frequency range (0.9-3.5 GHz), a standard L-band waveguide with dimensions of 8.255×16.51×75 cm, TE10 release mode, and a cutoff frequency of 0.908 GHz were used. A total of 244 egg samples were used in this study and stored for 1, 3, 5, 7, 15, and 24 days at room temperature. Immediately after the spectral acquisition, reference tests were performed to measure the egg quality and freshness parameters. In order to analyze the Vis/NIR spectra, the various pre-processing methods were first applied to the raw spectra and the best pre-processing method was selected for estimating each quality parameter. Then, the partial least squares regression (PLSR) was used to predict the egg quality parameters in both Vis/NIR spectroscopy and waveguide methods. The results showed that among quality parameters, the ACH predictive models had the highest prediction power in both methods where the respective Vis/NIR spectroscopy model could predict the ACH with the coefficient of determination ( R 2 p ) of 0.82, root mean square error of prediction (RMSEP) of 1.11 mm, and RPD of 2.19 in transmission mode. Also, the ACH model based on waveguide data could reach an R 2 p of 0.89, RMSEP of 0.89 mm, and RPD of 2.93 in reflected signal. Both methods showed relatively poor results in predicting the strength, L*, a*, and b* parameters. However, by low-level fusion of methods, a significant improvement in prediction power of all parameters was achieved where the fusion of transmission spectra-reflected signal could predict the ACH parameter with R 2 p of 0.89, RMSEP of 0.87 mm, and RPD of 3.06. The results showed that the fusion of Vis/NIR spectroscopy and waveguide methods can surprisingly increase the ability of the egg quality predictive models. Keywords: Egg, Vis/NIR spectroscopy, PDA spectrometer, Waveguide, Network analyzer, Partial least square regression, Low level fusion