[1] SINFERS takes measurements with a given level of certainty and infers data that is not known with minimal uncertainties by means of logically linked predictive functions.
Crucial to the operation of SINFERS are reliable inputs, the ability to link basic soil information, and the quantification of uncertainty.
This implementation of the SINFERS concept uses Jess to pattern match object representations of subsets of soil properties in working memory to the argument list of known pedotransfer functions.
The SINFERS' knowledge base knows which PTF rules to apply and how to choose the most certain computed values.
As of January 2013, the latest progress has been presented in Sydney (April 2012),[2] and the general concepts were discussed in Italy (July 2012)[3] and also in Tasmania (December 2012).