Deep neural network-based prediction of sauce-flavor Baijiu fermentation process and regulation of flavor compound synthesis.
A deep neural network based multi-task framework was developed using industrial-scale microbial community profiles and physicochemical parameters, enabling prediction of fermentation states and in silico optimization of controllable parameters to regulate target flavor compounds in sauce-flavor Baijiu production.