Personal Food Computer is a desktop-sized, controlled-environment agriculture system inspired by the MIT Media Lab’s OpenAg initiative. Designed to experiment with food growth in tightly monitored conditions, the project combines technology, data, and automation to simulate optimal environments for plants.

The system enables precise control over variables such as temperature, humidity, light cycles, and nutrient delivery, creating a platform to explore innovative growing techniques and crop optimization. I built multiple units in cities across the United States, and connected them to share data and insights, creating a collaborative network for agricultural experimentation.

Features and Capabilities

• Environmental Control: Sensors and actuators monitor and regulate temperature, humidity, and light to replicate ideal growing conditions.
• Lighting System: LED provides programmable light cycles for various stages of plant growth.
• Hydroponic Delivery: Nutrient and water systems ensure consistent delivery without traditional soil requirements.
• Data-Driven Feedback: Sensor data is logged to analyze and optimize growing conditions for specific crops.

Materials

• Custom-built enclosure with controlled airflow and insulation
• Temperature, humidity, and pH sensors for precise monitoring
• Programmable LED for plant-specific light spectrums
• Microcontroller and software for automation and data logging

This project demonstrates the potential of controlled-environment agriculture to rethink how and where food can be grown. By automating the process and visualizing environmental data, the system makes food production accessible and allows for decentralized R&D, increasing the use cases in citizen science for future innovations in sustainable agriculture.