Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
Machine learning is the scientific study of algorithms and statistical models that provides the computer the ability to automatically learn and improve from experience. During the 2020 CGIAR-CSI Community Meeting, Kauê de Sousa, Research Fellow from Bioversity-CIAT Alliance, presented a set of tools developed to facilitate the analysis of metadata and experimental citizen science data, […]
A new study in PNAS addresses the challenge of climate adaptation in a way that is both scalable and targeted. Scientists demonstrate a unique approach using crowdsourced citizen science that capitalizes on farmers’ knowledge.