Petković, Biljana and Petković, Dalibor and Kuzman, Boris and Jovanović, Dražen (2022) E-monitoring of in vitro culture parameters for prediction of maximal biomass yields. Biomass Conversion and Biorefinery, 12. pp. 5677-5685. ISSN 2190-6823
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Depositing User: | Unnamed user with email srdjan.jurlina@ien.bg.ac.rs |
| Date Deposited: | 25 Oct 2023 07:42 |
| Last Modified: | 26 Nov 2023 10:39 |
| URI: | http://repository.iep.bg.ac.rs/id/eprint/655 |
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