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IEEE P2992
IEEE Draft Recommended Practice for Data Expression, Exchange, and Processing in Smart Agriculture
Summary
New IEEE Standard - Active - Draft.
This document specifies the IEEE P2992 standard, which establishes recommended practices for data design in smart agriculture. 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 4 integrating advanced technologies such as IoT, AI, and robotics into agricultural operations.
The standard introduces hierarchical and unified data structures, supporting both real-time streaming and batch processing. It defines techniques for data tagging, ensuring semantic clarity, granularity, and contextual relevance, alongside robust naming rules to help prevent conflicts and enhance reusability. Data exchange protocols such as MQTT, HTTP/HTTPS, and CoAP are supported, promoting flexibility across various platforms.
Additionally, the document highlights methods for data encapsulation, enabling compatibility with proprietary and standardized formats using MIME and JSON. It includes guidelines for data storage in file systems, JSON databases, and key-value stores, enhancing adaptability to diverse operational requirements.
Applications of this standard span the digital transformation of agriculture, including precise environmental monitoring, growth analysis, and market-responsive crop management. Use cases illustrate JSON-based data representations for crops, showcasing efficiency gains in data size and actionable insights.
By implementing IEEE P2992, stakeholders in the agricultural ecosystem can achieve improved productivity, data-driven decision-making, and seamless collaboration across systems and manufacturers.
This standard defines recommended practices for designing smart agriculture data focusing on the data format, data tags, their naming rules, and data transfers to show the unified practices of data expression, exchange, and processing. This is indispensable for smart agriculture systems, such as data acquisition, data management, data service provisioning, and data processing for data security, as well as privacy from the perspective of agricultural machinery control, greenhouse management, and farming management. This recommended practice provides the co-existence and interoperability using common data structure and transfer between heterogeneous systems; namely, various systems of different manufacturers work together to achieve the farmers' requirement efficiently and effectively as for a smart agriculture system.
This document specifies the IEEE P2992 standard, which establishes recommended practices for data design in smart agriculture. 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 4 integrating advanced technologies such as IoT, AI, and robotics into agricultural operations.
The standard introduces hierarchical and unified data structures, supporting both real-time streaming and batch processing. It defines techniques for data tagging, ensuring semantic clarity, granularity, and contextual relevance, alongside robust naming rules to help prevent conflicts and enhance reusability. Data exchange protocols such as MQTT, HTTP/HTTPS, and CoAP are supported, promoting flexibility across various platforms.
Additionally, the document highlights methods for data encapsulation, enabling compatibility with proprietary and standardized formats using MIME and JSON. It includes guidelines for data storage in file systems, JSON databases, and key-value stores, enhancing adaptability to diverse operational requirements.
Applications of this standard span the digital transformation of agriculture, including precise environmental monitoring, growth analysis, and market-responsive crop management. Use cases illustrate JSON-based data representations for crops, showcasing efficiency gains in data size and actionable insights.
By implementing IEEE P2992, stakeholders in the agricultural ecosystem can achieve improved productivity, data-driven decision-making, and seamless collaboration across systems and manufacturers.
This standard defines recommended practices for designing smart agriculture data focusing on the data format, data tags, their naming rules, and data transfers to show the unified practices of data expression, exchange, and processing. This is indispensable for smart agriculture systems, such as data acquisition, data management, data service provisioning, and data processing for data security, as well as privacy from the perspective of agricultural machinery control, greenhouse management, and farming management. This recommended practice provides the co-existence and interoperability using common data structure and transfer between heterogeneous systems; namely, various systems of different manufacturers work together to achieve the farmers' requirement efficiently and effectively as for a smart agriculture system.
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| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Publication Date | 04/10/2025 |
| Page Count | 73 |
| EAN | --- |
| ISBN | --- |
| Weight (in grams) | --- |
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