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.