I am very happy to work with these folks to get a new version of the following paper done:
Machine-to-Machine Communication for Agricultural Systems
An XML-Based Auxiliary Language to Enhance Semantic Interoperability
Laboratory for Manufacturing and Productivity
Massachusetts Institute of Technology
77 Massachusetts Av., 35-135A
Cambridge, MA 02139
Hyoung-Gon Lee
Oracle America, Inc.
500 Oracle Parkway, 3op645
Redwood Shores, CA 94065
Reza Ehsani*
Citrus Research and Education Center
University of Florida
Lake Alfred, FL 33850
Stuart J. Allen
Marysville, WA
J. Steven Rogers
Ecostat, Inc.
Post Office Box 237
Highland City, FL 33846
Keywords
Agricultural Computation, M Language, Data Interoperability, Precision Agriculture, Machine-to-Machine Communication, Internet, XML, Microsoft.NET, Azure, Cloud Computing, WordNet, Web Services, Mathematical Model, Logistics Function, Context Aware Computing
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.
*Corresponding author
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