Money plant leaf (Epipremnum aureum): A comprehensive study of raw datasets with manual classification.

Abstract

Money plants are widely recognized for their significant spiritual and air-purifying benefits. Research has proven that daily interaction with these vibrant indoor plants effectively reduces anxiety and stress. This paper introduces a robust dataset of 4302 healthy, unhealthy, combined, real and college premises images of money plants captured using smartphones. The dataset was collected from the educational hub, Dr. D. Y. Patil Institute of Technology, Pune campus, Maharashtra, India. Under controlled conditions, images were taken from a mobile device to ensure consistency and quality. From different angles and different backgrounds, images are captured. The aim of creating the dataset was to support researchers in achieving their objectives in the agricultural field and to explore our dataset so that it may be used for further research, investigation, and training of artificial intelligence models using our dataset.

Plant phenotyping relevance

植物の健康・不健康状態を画像で収集・分類したデータセットが論文の中心であり、病害・状態フェノタイピング用データセットとして適格です。

Code and data availability

This Data in Brief article describes its own public plant-phenotyping asset: a 4302-image money plant (Epipremnum aureum) leaf dataset with manual healthy/unhealthy classification, deposited on Mendeley Data (V4, DOI 10.17632/kd8hs7ch6t.4) with a Zenodo mirror and an authors' GitHub repository. The dataset is the paper