Systems that are adjustable, time based and non-linear categories are credibly handled by applying fuzzy logic. Many authors had emphasized the role of fuzzy logic in food quality control for varying applications in the food industry domain. When considering the reasoning process, the support offered by fuzzy logic is remarkable, particularly in language based terminologies, related to operators and experts. In such cases, the system gets modeled using fuzzy logic by considering the values of linguistic variables and the vague relationships found amidst them. Uncertain and complex bioprocesses can be studied and their states can be assessed and forecast about their future can be done with the help of smart computer programs that play the role of software sensors. Imprecise and unfinished information can be accurately constructed with the help of fuzzy logic systems. Also process models can be precisely built by integrating the human expert knowledge into such models. This paper presents a survey enlisting the growth, advancement and current state of the art in applications of fuzzy logic in food product quality control. Remarkable expansions and inclinations to be made in future in this domain have also been emphasized.