The quality and composition of bitter orange essential oils (EOs) strongly depend on the ripening stage of the citrus fruit. The concentration of volatile compounds and consequently its organoleptic perception varies. Citrus fragrances have psychological and physiological effects which are due to their hedonic tone or positive judgment of their odor. To ensure product quality, sensory evaluation is considered necessary. However, such evaluation is usually costly and time-consuming. To overcome these shortcomings, the current dissertation aims to develop two objective methods for quality assessment of bitter orange essential oils (EOs). In other two studies, new computer-aided prediction systems (CAPS) are proposed for quality assessment of bitter orange peel. A research challenge could be developing a fast, cheap, and non-destructive system that predicts the pigments contents and AA for different applications and/or specifying the necessity of postharvest artificial de-greening to satisfy market demand. Thus, the objectives of current dissertation includes: 1) the Key Words Modelling, Classification, Artificial neural networks, Odor, Hedonic tone, Ion mobility spectrometry, Image processing, Antioxidant activity.
