Machine learning for predicting biomethane production from microbial communities’ composition in full scale anaerobic digesters

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Machine learning for predicting biomethane production from microbial communities’ composition in full scale anaerobic digesters

Poster presented by Andreia Salvador, PhD from the University of Minho, during the FEMS2023 congress, celebrated on July 9th-13th at the Congress Center of Hamburg (Germany). The poster was also contributed by M. Alcina Pereira (University of Minho), Georges F. R. Radohery, Giovanni Melandri, Sylvain Prigent, and Pierre Petriacq (University of Bordeaux).

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