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Machine-to-machine communication for agricultural systems: An XML-based auxiliary language to enhance semantic interoperability
Authors:Edmund W. Schuster  Stuart J. Allen
Affiliation:a Laboratory for Manufacturing and Productivity, Massachusetts Institute of Technology, 77 Massachusetts Av., 35-135A, Cambridge, MA 02139, United States
b Oracle America, Inc., 500 Oracle Parkway, 3op645, Redwood Shores, CA 94065, United States
c Citrus Research and Education Center, University of Florida, Lake Alfred, FL 33850, United States
d 7904 60th Drive NE, Marysville, WA 98270, United States
e Ecostat, Inc., Post Office Box 237, Highland City, FL 33846, United States
Abstract: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.
Keywords:Agricultural computation   M Language   Data interoperability   Precision agriculture   Machine-to-machine communication   Internet
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