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IEEE Recommended Practice for Data Expression, Exchange, and Processing in Smart Agriculture
New IEEE Standard - Active.
Recommended practices for data design in smart agriculture are established in this document. It emphasizes standardized methods for data formats, tags, naming conventions, and transfer protocols to enable interoperability, scalability, and efficient data exchange between heterogeneous systems.
These practices are pivotal for integrating advanced technologies such as IoT, AI, and robotics into agricultural operations.
This recommended practice provides for coexistence and interoperability through common data structures and transfers between heterogeneous systems; various systems from different manufacturers work together to efficiently and effectively meet farmers’ requirements, as in a smart agriculture system.
This standard defines recommended practices for designing smart agriculture data, focusing on data formats, tags, naming rules, and data transfers to demonstrate unified practices for data expression, exchange, and processing.
This is indispensable for smart agriculture systems, including data acquisition, data management, data service provisioning, data processing, data security, and privacy, from the perspectives of agricultural machinery control, greenhouse management, crop and harvesting management, supply chain management, and farming management.
This recommended practice provides for coexistence and interoperability through common data structures and transfers between heterogeneous systems; various systems from different manufacturers work together to efficiently and effectively meet farmers’ requirements, as in a smart agriculture system.
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