Zonal variability optimization using machine learning in a grow space

A control space operating system, the system comprising:

• a control space comprising:
• one or more variable controllers configured for adjusting one or more variables in the control space;
• one or more sensors for gathering data;
• and
• one or more data source zones, each data source zone configured to house one or more data sources that provide data to the one or more sensors;
• and
• a control space manager configured to
• for data that is received from one or more data source zones within a control space, analyzing the data to determine an observed degree of variability associated with each data source zone;
• comparing the observed degree of variability with a target degree of variability associated with a machine learning objective;
• and
• adjusting values of one or more control space variables within the control space to reduce a difference between the observed degree of variability and the target degree of variability, wherein the adjusting includes applying different adjustments across different data source zones.

A non-transitory computer readable storage medium storing instructions which, when executed, cause a processing device to:

• for data that is received from one or more data source zones within a control space, analyzing the data to determine an observed degree of variability associated with each data source zone;
• comparing the observed degree of variability with a target degree of variability associated with a machine learning objective;
• and
• adjusting values of one or more control space variables within the control space to reduce a difference between the observed degree of variability and the target degree of variability, wherein the adjusting includes applying different adjustments across different data source zones.