Development of an image processing system for monitoring water quality parameters

The discipline of computer technology known as artificial intelligence uses a variety of speculations, models, approaches, methods, and calculations to recreate and make clever frameworks. Computer based intelligence makes it conceivable to utilize PCs to take care of issues continuously and make wise decisions. The key component for creating or resolving real-time issues is an algorithm, which is the methodical process at every turn. Aqua fauna's optimal production is solely dependent on the water's physicochemical and biological characteristics. To successfully manage pond cultures and achieve high and healthy output, one must have a thorough understanding of water quality. Their bodily processes will suffer if water quality parameters abruptly drop or rise over the ideal ranges. Therefore, maintaining high water quality is a crucial task for the survival and expansion of aquaculture output. A flexible tool for classifying the water quality is created using natural language and fuzzy logic. The unpredictable and nonlinear nature of the aqueous medium is the primary reason for designing a basic fuzzy logic system. Aqua farmers can use the established model to assess the pond water quality and stay within permitted bounds as soon as possible.