Page 14 - Digital Agriculture: A Standards Snapshot
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Digital Agriculture: A Standards Snapshot



                  Figure 2: Overview of the FG-AI4A Outputs





























                  Demystifying Terminology

                  Digital agriculture includes in its ambit a variety of specialized terms, concepts and technologies
                  that may not be familiar to all participants in the standards-making process, including
                  policymakers, private sector entities, academic experts, and others. A clear understanding of
                  digital agriculture related terminologies is crucial for developing standards and guidelines,
                  especially given the diverse range of stakeholders involved.
                  During the research for the development of this Glossary, the FAO Terminology Portal and
                  ITU-R/ITU-T Terms and Definitions database. It has been observed that while looking at the
                  intersection between agriculture and technology, there exists a notable interchangeability of
                  terminology. Terms including "digital agriculture," "smart agriculture," and "smart farming"
                  are frequently used synonymously. For the purpose of the Glossary, definitions related to
                  these terms were included from various sources to ensure that all aspects related to them are
                  adequately reflected.

                  Overall, the Glossary created by the Focus Group offers precise definitions, facilitating a shared
                  understanding of digital agriculture related terms, providing a foundation for further research
                  and supporting standardization in this field through interdisciplinary collaboration.


                  Uncovering Gaps: Standards in Digital Agriculture

                  As digital agriculture could facilitate the adoption of a wide range of technologies—including AI,
                  IoT, digital twin, unmanned aerial vehicles, digital ledger technologies (DLT) and robotics, there
                  is a pressing need for standardized guidelines to ensure interoperability, data compatibility,
                  and security across different systems.

                  Without these standards, the lack of coherence can lead to fragmented solutions, where
                  technology types could fail to communicate or integrate efficiently, undermining the overall
                  effectiveness of digital tools in improving agricultural productivity and sustainability.







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