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

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-09-15 DOI:10.1016/j.dib.2025.112066

Jameer kotwal , Aarju Jain , Ramgopal Kashyap , Anil Pise , Pramod Patil , Vinod Kimbahune

引用次数: 0

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.

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货币植物叶（Epipremnum aureum）：人工分类的原始数据集的综合研究

金钱植物因其重要的精神和净化空气的好处而被广泛认可。研究已经证明，每天与这些充满活力的室内植物互动可以有效地减少焦虑和压力。本文介绍了一个健壮的数据集，其中包含4302张使用智能手机拍摄的健康、不健康、组合、真实和大学场所的金钱花图像。数据集收集自印度马哈拉施特拉邦浦那校区Dr. D. Y. Patil理工学院的教育中心。在受控条件下，从移动设备拍摄图像以确保一致性和质量。从不同的角度和不同的背景，图像被捕获。创建数据集的目的是支持研究人员实现他们在农业领域的目标，并探索我们的数据集，以便它可以用于使用我们的数据集进行进一步的研究、调查和人工智能模型的训练。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.