Interoperability is one of the enabling factors of real-time communications and data exchange between asynchronous data actors. Interoperability can be attained by introducing the notion of events to systems that extract data from consumed ground-truth event streams that utilize application-specific structures. Events are specific occurrences happening at a particular time and place. Event-data are observations of phenomena, or actions, as seen by different systems in Internet of Things (IoT) deployments, independent from data structures and platforms. Avena, an opensource software framework, facilitates communication among systems ranging from IoT devices, agricultural machines, and cloud-based data processing services and fosters effortless interoperability. Avena addresses the challenges of intermittent connectivity and incompatibility among precision agricultural systems, facilitating resilient IoT communications in complex agricultural networking environments. Constructed on modern distributed system architectures and leveraging overlay networks based on WireGuard tunnels and the NATS messaging system, Avena simplifies connections among software and other systems, making them inherently tolerant to communication outages and seamlessly adaptable to the dynamic nature of agriculture. Device discovery mechanisms and peer-to-peer communications between devices in precision agriculture ecosystems are integral components of Avena with eventlevel data abstraction and data interoperability. In this work, we integrated agricultural operational data which is mostly textual and manually recorded by farm employees. We have integrated Meta Ag, an open-source Android application featuring a geofence-responsive information bot that makes the in-field record-keeping process automatic and less error prone. Meta Ag, integrated into the Avena platform and powered by NATS, can give useful insights into machine and sensor data providing complete in-field operational records. With machine and sensor data now interoperable with contextual data, data-driven decision-making, including integration with biophysical models, will be easier, secure, and reliable.
