A gardener hoping for a crop of the juiciest summer tomatoes might tend to each and every plant in a plot. But a farmer working to feed the world?
Researchers believe that may be possible. They’re applying and integrating layers of technologies – including sensors, machine learning, artificial intelligence, high-throughput phenotyping platforms such as drones and small-scale rolling robots that can also fertilize, weed and cull single plants in a field – with the ultimate goal of replacing farmers’ reliance on heavy machinery and broadcast spraying in operations of all sizes.
Angelos arrived at Iowa State University on March 19, 2019 for a five-month program. During his visit, Angelos has been working with Dr. Archontoulis to provide technical support on the FACTS project and design a web interface and data flow simulation model that will be used to show yield predictions. Angelos is also working to create a website that would provide project information and updates to site visitors. Dr. Archontoulis said, “I have really enjoy hosting Angelos because of his motivation and drive to learn and participate in the project.” Angelos has contributed a significant amount of technical support to the project, but has also valued all that he has learned from Dr. Archontoulis and his colleagues that have been working on the project. Angelos said, “When first arriving to Iowa State, I had little knowledge about agriculture as my studies are in computer science and engineering, but after spending time with Dr. Sotirios I have gained a wealth of knowledge on the industry as well as enhanced my computer science skills through hands on learning opportunities.”