A Real-Time Dataset of Pond Water for Fish Farming using IoT devices

This is the real-time dataset. This dataset is created for monitoring the real-time aquatic environment using an IoT framework. Three sensors named pH, Temperature, and turbidity along with an Arduino controller are used for monitoring the water quality of 5 ponds. It has 4 columns and 40280 rows. They are- pH, Temperature, Turbidity, and Fish. Here fish is the target variable and others are the independent variable. There are 11 fish categories, having distinct values of tilapia 8830 rui 6336 pangas 5314 silverCup 3906 katla 3786 sing 3776 shrimp 3204 karpio 2112 prawn 1348 koi 964 magur 704.