As a technological nervous system, we are exploring the use of MAINFRAME to sense, interpret and optimize large scale agricultural and environmental setups.

MAINFRAME from a hardware perspective is infinitely scalable, being able to use diverse sensors in order to interpret any environment or entity.

The intention behind this project is to design MAINFRAME to autonomously optimize an indoor farm through integrating together environmental factors (overall oxygen, CO2, ambient light, temperature, pressure and humidity) and consolidating with personalized care per plant (soil moisture sensors with automated watering).

Potential factors to optimize:

• Health
• Growth/Yield
• Resilience
• Flavor
• Medicinal Properties
• Aesthetic Qualities
• Seasonal Growth Patterns
• Pollination and Reproduction