Summary:
- Researchers at Cornell University's College of Engineering have developed an AI-powered system that can optimize the energy efficiency and sustainability of indoor food production facilities.
- The system uses machine learning algorithms to monitor and adjust various parameters, such as lighting, temperature, and humidity, to maximize crop yields while minimizing energy consumption and environmental impact.
- The AI-powered system has the potential to significantly improve the sustainability and scalability of indoor farming, which is becoming increasingly important as the global population grows and the demand for food increases.