Machine-readable encoding for definitions of decisions in precision agriculture
FutureFarm WP 4 deals with the task “Knowledge Management in the FMIS of tomorrow”. The set of deliverables splits this task in different subtasks. FutureFarm deliverable D4.1.1 specifies an encoding for agricultural production standards, which serves as a data exchange format for structured, machine readable documents published by some authority or similar consisting sets of rules which farmers may adhere to. Deliverable D4.2 specifies interfaces for a catalogue and rule service in order to discover and distribute these standards. Deliverable 4.4 describes a proof-of-concept implementation of the services specified in Deliverable 4.2. WP 4 of FutureFarm is mainly focussed on the Integration of knowledge for compliance to Management Standards into Farm Information Systems. These external Management Standards are published by third parties and explicit decisions by the farm manager are more or less restricted to choose which of the voluntary standards and private labels the farm should comply to. Deliverable 4.1.3 (this document) aims to describe a first draft of farmers decision process within Precision Agriculture. Based on a “Model of decision-making and information flows for information-intensive agriculture” by S. Fountas et al. (2006) Deliverable 4.1.3 contains a scaffold ontology of farmers personal decision parameters in a machine-readable form and may be used in future work of decision making. The encoding of decisions was first modelled with use of the Unified Modelling Language (UML). Towards an ontology based decision support system ontologies for decisions, management goals, strategies (Deliverable 4.1.4) were modelled using Web Ontology Language (OWL) by World Wide Web Consortium (W3C). In combination with a rule language (e.g. W3C RIF) decision definitions could be encoded in a machine-readable format and provided from their repositories through web services. Farmer’s FMIS client can easily access such services and use the knowledge repositories together with farmwork process data to support the decision making process.