Webinar – Machine Learning with Metadata and Experimental Citizen Science in R
Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
Webinar – Machine Learning with Metadata and Experimental Citizen Science in R
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, […]
Farmer science accelerates climate adaptation
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.
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