Lo-Fi. Agritecture

Lo-Fi. Agritecture reimagines the future of rural-urban integration by proposing a low-tech construction yet data-driven ecological system to repair the metabolic rift between cities and the countryside. This project responds to growing concerns around industrialized agriculture, nitrogen pollution, and the separation of urban consumption from rural production.
Set in the Baltic region yet designed to address metabolic rifts in broader global contexts, the proposal introduces a hybrid design framework that combines advanced environmental sensing, generative algorithms, and traditional agricultural practices. A Generative Adversarial Network (GAN) is used to simulate spatial layouts, optimizing land use based on environmental conditions. Crop rotation algorithms further manage seasonal planting across modular grids, enhancing soil health and reducing nitrogen runoff.
At its core is a network of modular tensegrity greenhouses—lightweight, prefabricated, and adaptable structures designed to host seasonal crops while optimizing solar exposure, water flow, and soil quality. These modules are deployed in clusters, informed by multi-objective optimization algorithms that simulate nitrogen deposition and spatial performance.
The system integrates a digital user interface for environmental feedback while maintaining a lo-fi approach to construction and maintenance, making it accessible to local farmers. Through the integration of real-time soil sensors, crop rotation planning, and community-friendly interfaces, the design aims to close the nutrient loop and redefine the relationship between food systems and territorial infrastructure.
More information: https://vimeo.com/1074434218?share=copy