Abstract: Disclosed are systems and methods for microbial sensing and predictive growth modeling. A system can include one or more processors, coupled with memory, to receive genetic information of a microbe in a production system, the genetic information sequenced from a sample taken from the production system. The one or more processors can execute at least one model trained by machine learning using the genetic information to identify the microbe or determine a characteristic of the microbe. The one or more processors can update operation of the production system using the identity of the microbe or the characteristic of the microbe.