Well-curated datasets are essential to evidence based decision making and to the
integration of artificial intelligence with human reasoning across disciplines. However, many …

The deployment of various networks (eg, Internet of Things [IoT] and mobile networks),
databases (eg, nutrition tables and food compositional databases), and social media (eg …

Open data is increasingly being promoted as a route to achieve food security and
agricultural development. This article critically examines the promotion of open agri-food …

Both global poverty and hunger have increased in recent years, endangering progress
towards accomplishing Sustainable Development Goals (SDGs) 1 and 2. The regression …

The standardized identification of biomedical entities is a cornerstone of interoperability,
reuse, and data integration in the life sciences. Several registries have been developed to …

Agricultural participants are apprehensive as the farming landscape transforms with the
Internet of Things technology. Farming involves significant risk, and the addition of …

Modern breeding methods integrate next-generation sequencing and phenomics to identify
plants with the best characteristics and greatest genetic merit for use as parents in …

Artificial Intelligence (AI) is increasingly used within plant science, yet it is far from being
routinely and effectively implemented in this domain. Particularly relevant to the …

Motivation Biomedical identifier resources (such as ontologies, taxonomies, and controlled
vocabularies) commonly overlap in scope and contain equivalent entries under different …

Experimental citizen science offers new ways to organize on-farm testing of crop varieties
and other agronomic options. Its implementation at scale requires software that streamlines …