This paper introduces ELUA, the Ecological Laboratory for Urban Agriculture, a collaboration among landscape architects, architects and computer scientists who specialize in artificial intelligence, robotics and computer vision. ELUA has two gantry robots, one indoors and the other outside on the rooftop of a 6-story campus building. Each robot can seed, water, weed, and prune in its garden. To support responsive landscape research, ELUA also includes sensor arrays, an AI-powered camera, and an extensive network infrastructure. This project demonstrates a way to integrate artificial intelligence into an evolving urban ecosystem, and encourages landscape architects to develop an adaptive design framework where design becomes a long-term engagement with the environment.
Autor / Author: | Zhang, Zihao; Epstein, Susan L.; Breen, Casey; Xia, Sophia; Zhu, Zhigang; Volkmann, Christian |
Institution / Institution: | City College of New York/CUNY, New York/USA; Hunter College/CUNY, New York/USA; City College of New York/CUNY, New York/USA; Hunter College/CUNY, New York/USA; City College of New York/CUNY, New York/USA; City College of New York/CUNY, New York/USA |
Seitenzahl / Pages: | 9 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 8-2023 |
Tagung / Conference: | Digital Landscape Architecture 2023 – Future Resilient Landscapes |
Veranstaltungsort, -datum / Venue, Date: | Dessau Campus of Anhalt University, Germany 24-05-23 - 27-05-23 |
Schlüsselwörter (de): | |
Keywords (en): | Resilience, climate change, technology, robotics, machine learning, artificial intelligence |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537740028 |
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