Machine-to-machine communication for agricultural systems: An XML-based auxiliary language to enhance semantic interoperability

This paper puts forth an Internet-based architecture for machine-to-machine communication and computation that enhances bio-productivity in agriculture. The approach utilizes an auxiliary language to enable data interoperability in a synthetic computing environment and to make connections between data and mathematical models. The approach also includes some aspects of cloud and context aware computing. At the prototype level, a practical application from the Florida citrus industry demonstrates the concept. In general, future agricultural systems will be Internet-based thus reducing cost and increasing capability. Standards organizations are certain to play an important role in this development, which might continue for the next decade or longer.

► Intensive modeling of data enhances bio-productivity in agriculture.
► Robust machine-to-machine communication requires an interdisciplinary approach.
► An auxiliary language enables Internet connections between models and data.
► A prototype from the Florida citrus industry demonstrates the system architecture.
► Standards organizations will play a role in improving data & model interoperability.