Integrating artificial intelligence into today’s environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed the world as its population rises, Cornell engineers have found.
Integrating artificial intelligence into today’s environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed the world as its population rises, Cornell engineers have found.
“If we incorporate AI into agricultural plant factories – large-scale indoor farms with complete lighting and climate control – all around the world, we can facilitate crop photosynthesis, transpiration and respiration in these buildings,” said Benjamin Decardi-Nelson, a postdoctoral fellow in the laboratory of Fengqi You, the Roxanne E. and Michael J. Zak Professor in Energy Systems Engineering in Cornell Engineering. “We can expect to see substantial energy reduction while amplifying efficiency and a savings of precious resources.”
Their research, “Artificial Intelligence Can Regulate Light and Climate Systems to Reduce Energy Use in Plant Factories and Support Sustainable Food Production,” published Sept. 9 in Nature Food.
Read more at Cornell University
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