IEEE Approved Draft Recommended Practice for Data Expression, Exchange, and Processing in Smart Agriculture

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.