Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory and a processor, wherein the processor is configured to, by executing the at least one instruction, acquire a plurality of training data; acquire a plurality of embedding vectors that are mappable to an embedding space for the plurality of training data, respectively; train an artificial intelligence model classifying the plurality of training data based on the plurality of embedding vectors, identify an embedding vector misclassified by the artificial intelligence model among the plurality of embedding vectors, identify an embedding vector closest to the misclassified embedding vector in the embedding space, acquire a synthetic embedding vector corresponding to a path connecting the misclassified embedding vector to the embedding vector closest to the misclassified embedding vector in the embedding space, and re-train the artificial intelligence model by adding the synthetic embedding vector to the training data.

Abstract: The object of the invention is a new strain of Lactobacillus buchneri A deposited in the Collection of Industrial Microorganisms in the Institute of Agricultural and Food Biotechnology in Warsaw, under the number KKP 2047 p. The invention also concerns composition and a multi-component preparation for starch-rich plant preservation comprising this new strain, uses thereof and the method of silage production or starch-rich plant preservation.

Abstract: The object of the invention is a new strain of Lactobacillus buchneri A deposited in the Collection of Industrial Microorganisms in the Institute of Agricultural and Food Biotechnology in Warsaw, under the number KKP 2047 p. The invention also concerns composition and a multi-component preparation for starch-rich plant preservation comprising this new strain, uses thereof and the method of silage production or starch-rich plant preservation.