Cornell engineers have discovered that incorporating artificial intelligence (AI) into environmental control systems for indoor agriculture can reduce energy consumption by 25%, potentially aiding global food production.
The study, led by postdoctoral fellow Benjamin Decardi-Nelson and Professor Fengqi You, showed that AI can optimize climate and lighting controls in large-scale indoor farms.
Using AI techniques like deep reinforcement learning, researchers found that energy use for growing lettuce in indoor facilities decreased significantly across diverse locations. The findings suggest AI can streamline indoor farming, making it more sustainable and efficient as the global population grows.
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