As part of the construction of its new (meta)program on organic scaling, INRA wishes to be able to monitor and analyze the evolution of production and research communities of this topic. But, the capture of the relevant literature via a bibliographic query is challenging. We thus propose a search strategy capturing the relevant literature on organic scaling. This method is based on both expert knowledge and an iterative and inductive process of lexical query improvement. We show that our approach leads to a good quality corpus (Precision=89% and Sensitivity=90%). Moreover, we detail the constraints weighting on such a strategy and the advantages of the iterative approach in the acquisition of knowledge of sub-topics, and on the lexicon used by researchers to discuss organic scaling.