Feed moisture content (M.C.) and dry matter are vital in the livestock industry because livestock are required to consume adequate dry matter while moisture content of the feed also limits its shelf-life. Available devices for moisture content determination which could also be used to estimate the dry matter content are specific to a component of the feed and mostly destructive in principle. This makes it imperative to develop a device that can detect the moisture content of mixed feeds in real time. The near infrared spectroscopy (NIRS) has been widely investigated for rapid, often non-destructive, determination of the compositional and quality traits of agricultural products. Specific wavelengths are usually transmitted, absorbed, or reflected depending on the chemical composition and physical factors of a sample. Total mixed ration (TMR) feed formulated at the Hwaseong Dairy TMR factory was used in this study. A sample holder, consisting of two different parts: a holder for optical fiber probe that supports 5 angles and a petri dish holder for the TMR sample to be placed were modeled and printed using a 3D printer. The sample was prepared to 15 different moisture content percentages between 30% and 75%. A NIRS was used for the acquisition of moisture content data. Nine spectrum data were collected from different points of the sample at 4.86mm between the probe and the sample. A prediction model was developed using partial least squares regression. Results showed predictions matched measured values with r-square value of 0.95 for calibration and 0.78 for validation. A model for real-time estimation of moisture content in TMR sample using NIRS was developed