Intelligent agent-based intelligent agriculture decision system

According to the requirement of agriculture decision, a knowledge-based intelligent agent logical model was presented. Knowledge is the kernel of the model and inference is the model's main planning method. Based on the logical model, ontology was used to define the intelligent agent's internal knowledge representation, and with the production rules, a plan presentation method was designed based on the task and entity definition. Then the agent's physical structure and key algorithm (planning procedure) were designed based on the blackboard model. An agriculture decision system architecture based on multi-agent system (MAS) was proposed based on the agent model and blackboard mechanism. In the end, a farm crop production decision system was given, and its practical application proves that the model can fulfill the requirement of large-scale distribution agriculture decision systems.