This thesis investigates a comprehensive evaluation of sound quality within the interior noise of a tractor HVAC (Heating, Ventilation and Air Conditioning) system using a predictive modelling approach. The research follows a systematic methodology that includes literature review, signal acquisition tests, psychoacoustic parameter analysis, subjective evaluations, and the development of a sound quality prediction model. During the literature review phase, relevant papers on psychoacoustic parameters, subjective noise ratings and noise prediction models were tabulated. Cabin noise was recorded at the operator's ear level using a 19-channel microphone, an artificial head with binaural headsets, and an omnidirectional microphone. Psychoacoustic parameters such as loudness, A-weighted sound pressure level (A-SPL), sharpness and roughness were calculated.