摘要
构建可供机器学习建模使用的图像数据集对于实现高效的农业病虫害识别至关重要。本数据集收集整理了白粉病、霜霉病等7种葡萄病害图像数据,共计3622张,约697 MB。本数据集可为葡萄病害识别研究领域提供宝贵的基础数据资源,同时可作为大数据环境下机器学习建模的标准图库,对促进农业病害图像识别研究的发展具有重要的实际应用价值。
It is very important to produce an image dataset for machine learning modeling to efficiently identify agricultural diseases and pests.This dataset(about 697 MB)is composed of 3,622 images of 7 varieties about diseases,such as powdery mildew and downy mildew.This dataset is expected to provide valuable basic data resources for the study on grape disease identification and can also serve as a standard library for machine learning modeling in the overall situation of big data.It is of great significance for practical application in promoting the development of agricultural disease identification.
作者
袁媛
陈雷
YUAN Yuan;CHEN Lei(Institute of Intelligent Machines,HFIPS,Hefei 230031,P.R.China;National Basic Science Data Center,Beijing 100190,P.R.China)
基金
国家自然科学基金面上项目(31871521、32071901)
国家基础学科公共科学数据中心“面向农业图像理解的机器学习数据集”(NBSDCDB-20)。
