AI experts at Carnegie Mellon University are teaming up with agricultural leaders and plant scientists to solve the emerging global food crisis. CMU researchers are developing and deploying a unique comprehensive system of sensing, robotics and AI technologies to improve plant breeding and crop management practices in an effort to feed the earth's projected 9.6 billion people, 20 years from now. Carnegie Mellon's FarmView is a multidisciplinary research team that is developing automated, data-driven decision tools to increase the yield of sorghum, a drought and heat-tolerant grain that thrives in famine-prone parts of the world. Researchers are collecting data with drones, robots and stationary sensors on sorghum plants growing at Clemson University, a FarmView partner. Machine learning technologies analyze the data to determine what characteristics produce greater yields. These technologies are also being applied to controlled environmental agricultural systems like vertical farms and greenhouses.