2026-10-14T23:42:04Z https://www.scidb.cn/oai

10.11922/sciencedb.j00001.00311 2023-09-04T16:21:59Z

2023-09-04 An image dataset for IDADP-grape disease identification doi:10.11922/sciencedb.j00001.00311 en Building an image dataset for machine learning modeling is very important for efficiently identifying agricultural diseases and pests. The grape disease dataset has 7 high-quality disease images such as powdery mildew and downy mildew, a total of 3622 images. As a standard dataset for machine learning modeling in large data environment, this image dataset will provide valuable basic data resources. And it has important applicability in promoting the development of agricultural disease identification. IDADP; grape disease; image identification; machine learning; training sample Yuan Yuan Lei Chen PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.11922/11-6035.csd.2021.0077.zh Science Data Bank