Abstract: Mold growth monitoring and prediction systems and methods for an environment are disclosed. The system includes a processing unit, a temperature sensor, and a humidity sensor. The processing unit obtains a temperature reading and a humidity reading of the environment from the sensors. The processing unit uses an algorithm to determine a probability of mold growth based on the temperature reading, the humidity reading, and a time reading. For example, the algorithm defines an envelope based on temperature, humidity, and one or more species of mold. The envelope substantially separates conditions detrimental to mold growth from conditions conducive to mold growth for the species of mold. The processing unit uses the algorithm to determine whether the temperature reading and the humidity reading fall within detrimental or conducive conditions to mold growth. Based on the conditions, the processing unit either increases or decreases the probability of mold growth.

Abstract: Mold growth monitoring and prediction systems and methods for an environment are disclosed. The system includes a processing unit, a temperature sensor, and a humidity sensor. The processing unit obtains a temperature reading and a humidity reading of the environment from the sensors. The processing unit uses an algorithm to determine a probability of mold growth based on the temperature reading, the humidity reading, and a time reading. For example, the algorithm defines an envelope based on temperature, humidity, and one or more species of mold. The envelope substantially separates conditions detrimental to mold growth from conditions conducive to mold growth for the species of mold. The processing unit uses the algorithm to determine whether the temperature reading and the humidity reading fall within detrimental or conducive conditions to mold growth. Based on the conditions, the processing unit either increases or decreases the probability of mold growth.