Deep learning applied to urban agriculture: spatial-temporal changes ofagricultural land in a rapidly urbanizing Southeast Asian city

Rapid urbanization in Southeast Asia has been posing huge impacts on local foodsystems, altering spatial-temporal patterns of urban agriculture, ecosystems and sociallife. Understanding these changes is crucial for cities planning their land use andinfrastructure development to achieve a balance between urban growth, agriculturalsustainability, and food security. This study mapped the changes between 2013 and2020 of five agricultural types within (peri)urban areas in Huế, a province’s capita...