This report details the progress and milestones of the ITU/FAO Focus Group on AI and IoT for Digital Agriculture (FG-AI4A), an open platform for discussing the integration of AI and IoT technologies in agriculture, laying the groundwork for technical standardization. Key achievements include developing a comprehensive glossary of digital agriculture terminology, mapping the current landscape of standardization, formulating best practices and guidelines, and data modelling framework for digital agriculture. By addressing standardization gaps, promoting for the ethical use of technology, and prioritizing data quality and integration, these efforts are geared towards enhancing agricultural production practices, overall productivity and efficiency while ensuring sustainability and resilience.
Building smarter cities: From connected infrastructure to trusted urban services
What makes a city “smart” is not the number of sensors installed across its streets. It is the ability to...
AI for Good | Global Summit
Securing the AI stack: Why trustworthy AI begins with resilience
AI can strengthen cybersecurity, but it can also make attacks faster, more scalable, and harder to detect. This tension was...
AI for Good | Global Summit
One model across many sciences: Zhejiang Lab’s 021 Scientific Foundation...
Different sciences record their observations in different forms. Chemistry uses molecular formulas; genomics uses sequences; astronomy uses images and spectra;...
AI for Good | Global Summit









