Purdue University’s Center for Community & Environmental Design has published a new article titled, “Generative AI text-to-image for community participation in landscape planning,” in Landscape and Urban Planning showcasing. The research, led by graduate research assistant Ishraq Awashra and Dr. Aaron Thompson, introduces a new approach that streamlines the process of translating community feedback into visual designs using generative artificial intelligence (AI). The authors tested this method through a case study with the Diverse Corn Belt (DCB) Project, which aims to co-produce landscape-level scenarios for sustainable agricultural landscapes in the U.S. Corn Belt. This research contributes to the principles of agricultural landscape design by exploring how we may use technology to support collaborative landscape planning efforts through participatory design. Read the full article here: Generative AI text-to-image for community participation in landscape planning.