SoyNet: A high-resolution Indian soybean image dataset for leaf disease classification.

ABSTRACT: In order to address the challenges related to the classification and recognition of soybean disease and healthy leaf identification, it is essential to have access to high-quality images. A meticulously curated dataset named "SoyNet" has been created to provide a clean and comprehensive dataset for research purposes. The dataset comprises over 9000 high-quality soybean images, encompassing healthy and diseased leaves. These images have been captured from various angles and directly sourced from soybean agriculture fields; The soybean leaves images are organized into two sub-folders: SoyNet Raw Data and SoyNet Pre-processing Data. Within the SoyNet Raw Data folder are separate folders for healthy and diseased images captured using a digital camera. The SoyNet Pre-processing Data folder comp

SUBMITTER: Rajput AS 

PROVIDER: S-EPMC10415694 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature