Bean Health and Disease Dataset: A Resource for Agricultural Research
收藏doi.org2025-03-23 收录
下载链接:
http://doi.org/10.17632/3km9d246z2.1
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资源简介:
This dataset comprises 3,528 labeled images of bean plants and leaves, categorized into 10 classes, including healthy and diseased beans and leaves. The images were collected from Daffodil International University,Dhaka,Bangladesh and Nimshar,Bangladesh to support agricultural research and advanced machine learning applications.
Purpose:
1.Enable the development of machine learning and image processing models for identifying healthy and diseased bean plants.
2.Support agricultural research by improving disease detection and crop management.
3.Contribute to sustainable farming practices through better monitoring of bean cultivation.
本数据集由3,528张标注清晰的豆科植物及叶片图像组成,分为10个类别,包括健康与病害豆科植物及叶片。图像采集自孟加拉国达卡市Daffodil国际大学以及Nimshar,旨在支持农业研究及高级机器学习应用。
目的:
1. 促进面向识别健康与病害豆科植物的学习模型与图像处理模型的开发。
2. 通过提升病害检测与作物管理能力,支持农业研究。
3. 通过对豆科种植的更好监控,贡献于可持续农业实践。
提供机构:
doi.org



