Operations research and machine learning to manage risk and optimize production practices in agriculture: good and bad experience
Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
Establishing the linkage between Eba's instrumental and sensory descriptive profiles and their correlation with consumer preferences: implications for cassava breeding
ag5Tools: An R package for downloading and extracting agrometeorological data from the AgERA5 database