Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities
Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.
Designing gender-inclusive digital solutions for agricultural development: An introductory guide and toolkit
Combining legacy data from heterogeneous crop trials to identify genotype by environment interactions using model-based recursive partitioning
Participatory design of digital innovation in agricultural research-for-development: insights from practice