Can a system autonomously optimize the growth and stability of an ecosystem, or even condition it to handle new environmental conditions?

This project is an exploration into developing the MAINFRAME processor to adapt a biological entity (in this case, a plant) through interpreting it's health and working within the adaptive confines of the entity, providing personalized care.

We believe there is a difference between “forcing” an entity to adapt to our arbitrary conditions (ie. timers) and slowly encouraging it to adapt, maintaining stability and thoughtfully applying stressors.

In the future, we want to lead this project to autonomously optimize crop health, yield and resilience, and balancing/optimizing available resources. Furthermore, there is potential in Integrating together crop status and changing/predicted environmental conditions

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Pictured is a prototype, with an oxygen, pressure, humidity, temperature, soil moisture, and ambient light sensor connected. MAINFRAME controls water level and air ventilation in order to modify the plant's environment.