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E-monitoring of in vitro culture parameters for prediction of maximal biomass yields

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Abstract

An e-monitoring system was established and modeled by object-oriented methodology for prediction of the maximal biomass yields based on in vitro culture parameters. The system calculates the maximal biomass yields through neuro-fuzzy or adaptive neuro-fuzzy inference system (ANFIS) methodology. The final biomass fresh weight was considered as a function of culture parameters. ANFIS models were created for the prediction of the maximal biomass yields. According to the prediction accuracy of the models, the inputs’ influence was determined on the biomass fresh weight. It was determined that the pH of growth medium has the highest impact on the biomass fresh weight (RMSE = 0.8302) while the medium culture vessel has the smallest influence on the biomass fresh weight (RMSE = 0.9556). The designed e-monitoring system could have the potential for practical applications.

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Authors and Affiliations

  1. Faculty of Finance, Banking and Auditing, Alfa BK University, Belgrade, Serbia

    Biljana Petković & Drazen Jovanovic

  2. Pedagogical Faculty in Vranje, University of Niš, Partizanska 14, Vranje, 17500, Serbia

    Dalibor Petkovic

  3. Institute of Agricultural Economics, Belgrade, Serbia

    Boris Kuzman

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  1. Biljana Petković
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  2. Dalibor Petkovic
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  3. Boris Kuzman
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  4. Drazen Jovanovic
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Correspondence to Dalibor Petkovic.

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Petković, B., Petkovic, D., Kuzman, B. et al. E-monitoring of in vitro culture parameters for prediction of maximal biomass yields. Biomass Conv. Bioref. 12, 5677–5685 (2022). https://doi.org/10.1007/s13399-020-00986-6

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  • DOI: https://doi.org/10.1007/s13399-020-00986-6

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