AI for Precision Agriculture

Agriculture has significant environmental impact and gas emissions, with food being produced far from where it is consumed. AI4OPT envisions a decentralized agriculture where the production is next to consumption and supply chains are bypassed entirely. The vision is centered around the concept of hydroponics (soilless farming), where nutrients are directly provided to the roots of the plants. At scale, hydroponics could reduce land use by 80% and water use by 90%. 

To make hydroponics a vision, AI4OPT, and its partners, combines robotics systems to monitor plants, computer vision to estimate plant growth, biology-inspired machine learning, and reinforcement learning to tune how much and which nutrients are provided to the plants. The overall problem leverages AI, multi-objective optimization, and uncertainty quantification.

AI for Precision Agriculture Team

Yongshen Chen
Yongsheng Chen
Georgia Institute of Technology
George Lan
George Lan
Georgia Institute of Technology
John Crittenden
John Crittenden
Georgia Institute of Technology
Bistra Dilkina
Bistra Dilkina
USC Site Director
University of Southern California
Pinar Keskinocak
Pinar Keskinocak
Georgia Institute of Technology
Pascal Van Hentenryck
Pascal Van Hentenryck
Director
Georgia Institute of Technology