Grain by grain: A microscopic image dataset of rice varieties from Bangladeshi rice markets

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES
Md Tahsin , Kazi Isat Mahazabin , Maksura Binte Rabbani Nuha , Akil Rahman Efad , Mariya Rahman Momo , Nishat Tasnim Niloy , M. Saddam Hossain Khan , Rashedul Amin Tuhin , Mohammad Rifat Ahmmad Rashid , Raihan Ul Islam
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引用次数: 0

Abstract

Although Rice is the staple food of Bangladesh, the practice of cutting and polishing rice to make it look attractive, i.e., thinner, and shinier, leads to serious health concerns. While the motivation behind this process is to increase market value, it leads to the loss of minerals, nutrients, vitamins, and fibers, leaving only carbohydrates, which can result in serious health concerns. This article presents an extensive dataset of images of rice collected from the local market in Dhaka, Bangladesh, captured using high-resolution microscopic cameras. This dataset features more than 200 images each from 10 different types of rice, totalling approximately 2010 images. After augmentation, the folders expanded to 800 images, totalling 8010 augmented images. Each of the images provides a detailed view of the structure of each rice grain after the milling process and shows the result of the polishing process, which proves the nutritional loss. The sole purpose of presenting the dataset is to prove the hidden impact of the milling process on rice and serve as a valuable resource for further study on rice quality and overall food security.
一粒一粒:来自孟加拉国大米市场的水稻品种显微图像数据集
虽然大米是孟加拉国的主食,但将大米切割和抛光以使其看起来更有吸引力,即更薄,更有光泽的做法导致了严重的健康问题。虽然这一过程背后的动机是增加市场价值,但它会导致矿物质、营养素、维生素和纤维的流失,只剩下碳水化合物,这可能会导致严重的健康问题。本文介绍了从孟加拉国达卡当地市场收集的大米图像的广泛数据集,这些图像是用高分辨率显微相机拍摄的。该数据集的特征是来自10种不同水稻的200多幅图像,总共约有2010幅图像。增强后,文件夹扩展到800张图像,总共8010张增强图像。每张图片都提供了碾磨过程后每个米粒的详细结构视图,并显示了抛光过程的结果,证明了营养损失。提供数据集的唯一目的是证明碾磨过程对大米的隐藏影响,并为进一步研究大米质量和整体粮食安全提供宝贵资源。
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
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.
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