Automated Modelling of Physiological Processes During Postharvest Distribution of Agricultural Products

摘要

In this paper, we present an approach to automated modelling of physiological processes occurring during postharvest distribution of agricultural products. The approach involves reasoning about the reuse of both qualitative and mathematical models for physiological processes, and constructs quantitative simulation models for the postharvest behaviour of agricultural products. The qualitative models are used to bridge the gap between the modeller's knowledge about the physiological phenomenon and the mathematical models. The qualitative models are represented by knowledge graphs, that are conceptual graphs containing only causal relations, aggregation relations, and generalisation relations between domain quantities. The relationships between the mathematical models and the qualitative models are explicitly represented in application frames.