Optimizing growing process in a hybrid growing environment using computer vision and artificial intelligence

Abstract

A method for optimizing plant growth in a hybrid growing environment may implement artificial intelligence to measure and alter plant biometrics. Independent variables may be altered by a control unit by manipulating various control systems within the growing environment. Dependent variables may be measured, and the response of the dependent variables may be recorded in association with the alteration to the independent variables. A historical database may store data regarding the variables and may be referenced and updated by an exemplary embodiment. The control unit may optimize one or more variables or parameters based on a targeted value or outcome. An exemplary hybrid growing environment may include one or more vertical growing phases and a horizontal phase. The phases may implement various watering systems and may be hydroponic, be a complete CEA, use a mixture of natural, artificial, and/or supplemental lighting.

Dependencies are inferred from the claim text.