TECH CORNER
TECHNOLOGY
Diganta Adhikari, PhD
Dan Berne
format to the S632 standard format. This was a fairly straightforward task.
The second, and very important, ob- jective was to preserve the meaning of the data during the translation. Codes from the data producer’s system were reformatted to standardized observation codes. The team explicitly declared the units of measure in the S632 format, us- ing a standardized code list from AgGate- way’s ADAPT framework.
The data producer, like many manu- facturers, sends a very compact data set from the logger to its cloud server. These small packets sometimes encode errors or other metadata into unused data values. This was carefully decoded as the data moved from the data pro- ducer’s cloud server to the data con- sumer’s cloud server (see fig. 2) to make the data original equipment manufac- turer-agnostic. The integration team did this by using rules to tease out the differ- ent kinds of information contained in the original data packets and separated them into explicit S632 data-type “bins.”
The data producer found value in this integration test, as it sees a growing demand for standardized data, and stan- dardization provides their sales force in- creased compatibility with other systems, an important point of value. Open data standards are also valuable to growers, by simplifying their workflow and shrinking the number of dashboards they must use.
From the data consumer’s perspective, standards-based data integrations scale better and have easier maintenance than myriad point-to-point efforts. A central- ized system can periodically fetch data from multiple sources and store it in a common format.
irrigationtoday.org
Andres Ferreyra, PhD
Both companies found that implement- ing the standardized data integration was not an arduous task, provided the existence of documentation. A well-structured standardization effort affords the opportunity to accurately preserve the meaning of the exchanged data, helping companies help growers make informed irrigation decisions.
Authors’ note: In this research, Irrometer Company Inc. served as the data producer and Syngenta served as the data consumer.
Diganta Adhikari, PhD, is the global head research discussed in this article, he served Company Inc.
Dan Berne- -
Andres Ferreyra, PhD, works as data
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