Aerial images and water quality dataset for fishpond's condition monitoring.

This dataset is part of fundamental research to produce IoT monitoring in fishponds. The data consists of the results of measurements of pH, total dissolved solids (TDS), and water temperature obtained through manual sensor devices in several locations at different times. Additionally, this data also includes images taken by drones at consistent heights.

Multilabel multiclass sentiment and emotion dataset from indonesian mobile application review.

Reviews are a person's way of expressing feedback on something in the form of criticism and ideas. Reviews of mobile apps are a type of user feedback that focuses on the performance and look of a mobile application and is typically featured on the download page of a mobile application, such as in the Apps Store. Because it comprises a person's feelings and emotions, whether they are joyful, sad, hostile, or indifferent toward a mobile application, the review data is textual and may be gathered and utilized as material for creating a textual dataset.

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

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.