AQUAPONICS PH VALIDATION USING ARTIFICIAL INTELLEGENCE

Abstract

This study explores the use of Artificial Intelligence (AI) to improve pH monitoring in an aquaponic system that combines aquaculture and hydroponics to create a symbiotic environment for fish and plants. Aquaponics offers the benefits of sustainable agriculture, with optimal water quality, particularly pH levels, critical to ecosystem health. The purpose of the study is to develop the prototype of aquaponic pH validation that supports AI integration, and pH verification through sensors. The development of an aquaponic prototype using AI with sensor and Blynk apps used in pH validation.  The pH sensor functions effectively and shows the optimal pH level in each water sample taken. The higher the water temperature the higher the pH level. The average pH reading is 7.37 and 7.47 by weekly monitoring which complied the average pH level according to National Water Quality Standard (NWQS) for Malaysia which is 6.5 to 8.5. The integration of Artificial Intelligence (AI) in aquaponics for pH monitoring has demonstrated significant potential in enhancing system stability and sustainability. An AI-supported aquaponics system with real-time pH monitoring, managed through Blynk apps has successfully achieved the objectives.