Fishpond Visual Condition Dataset

This dataset is a part of a fundamental research to produce an IoT monitoring device for fishpond. The hypothesis of this research is that the health of a fishpond can be inferred from the visual data. To build the dataset, several conditions data is gathered. The temperature, pH level, and total dissolved solid (TDS) were collected in several location at different time. At each time and location, an aerial photo of the pond was also collected using drone at several height. The conditions data is collected by using appropriate digital sensor for each parameter. The dataset consists of 975 data rows. Each row represent the condition and visual image (in 100 x 100 pixels images) of a fishpond at certain time and location. To use the dataset, please access the pond_dataset.csv file. The file contains the tabular data of 13 ponds (each pond represent different location and different collection time). For each row, the visual image file name is presented. To access the image file, please search in the images folder and find the corresponding image file according to the name listed in the csv file. The dataset can be used to study the correlation of each parameter. For example, the research originally study the correlation about the visual data with the conditions data. To do this, the image need to be preprocessed. The image data can be converted into a histogram data, or any other visual preprocessing method and result.