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This work proposes a framework using temporal data and domain knowledge inorder to analyze complex agronomical features. The expertise is firstformalized in an ontology, under the form of concepts and relationships betweenthem, and then used in conjunction with raw data and mathematical models todesign a software sensor. Next the software sensor outputs are put in relationto product quality, assessed by quantitative measurements. This requires theuse of advanced data analysis methods, such as functional regression. Themethodology is applied to a case study involving an experimental design inFrench vineyards. The temporal data consist of sap flow measurements, and thegoal is to explain fruit quality (sugar concentration and weight), using vine'swater courses through the various vine phenological stages. The results arediscussed, as well as the method genericity and robustness.

A modeling approach to design a software sensor and analyze agronomical features - Application to sap flow and grape quality relationship