Fecha de publicación: 01/02/2024 Fuente: PubMed "smart farming" Data Brief. 2024 Jan 10;52:110046. doi: 10.1016/j.dib.2024.110046. eCollection 2024 Feb.ABSTRACTRice holds a significant position in the global food supply chain, particularly in Asian, African, and Latin American countries. However, rice pests and diseases cause significant damage to the supply and growth of the rice cultivation industry. Therefore, this article provides a high-quality dataset that has been reviewed by agricultural experts. The dataset is well-suited to support the development of automation systems and smart farming practices. It plays a vital role in facilitating the automatic construction, detection, and classification of rice diseases. However, challenges arise due to the diversity of the dataset collected from various sources, varying in terms of disease types and sizes. This necessitates support for upgrading and enhancing the dataset through various operations in data processing, preprocessing, and statistical analysis. The dataset is provided completely free of charge and has been rigorously evaluated by agricultural experts, making it a reliable resource for system development, research, and communication needs.PMID:38299106 | PMC:PMC10828557 | DOI:10.1016/j.dib.2024.110046