Development of an image processing system for monitoring water quality parameters
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Abstract
The discipline of computer technology known as artificial intelligence uses a variety of theories, models, approaches, methods, and algorithms to recreate and develop intelligent systems. Artificial intelligence makes it possible to use computers to solve problems in real time and make intelligent decisions. The key component for creating or resolving real-time issues is an algorithm, which is a systematic process followed at every stage.
The optimal production of aquatic fauna is highly dependent on the physicochemical and biological characteristics of water. To successfully manage pond cultures and achieve high and healthy yields, a thorough understanding of water quality is essential. Sudden decreases or increases in water quality parameters beyond the ideal range can negatively affect the biological processes of aquatic organisms. Therefore, maintaining good water quality is a crucial requirement for the survival and expansion of aquaculture production.
A flexible tool for classifying water quality can be developed using natural language processing and fuzzy logic. The unpredictable and nonlinear nature of the aquatic environment is the primary reason for designing a fuzzy logic system. Aqua farmers can use the proposed model to evaluate pond water quality and maintain it within permissible limits as quickly as possible.
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