A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device

Abstract

This dataset contains pH, TDS, and water temperature measurements using internet of things devices and sensors. The dataset is collected using an IoT sensor with ESP8266 as the microcontroller. Urban farmers can use this dataset with limited land in aquaponic cultivation as initial reference values or novice researchers to implement basic machine learning algorithms. Measurements were made on aquaculture consisting of 1m3 pond media with a water volume of 1 m x 1 m × 70 cm and hydroponic media with the Nutrient Film Technique (NFT) system. Measurements were carried out for three months from January 2023 to March 2023. The available datasets are raw data and filtered data.