This session presents the development of a platform based on the Internet of Things (IoT) to monitor urban gardens as a strategy to mitigate hunger, promote food sovereignty, and foster a circular economy in areas with food shortages. The platform includes an IoT architecture with a social design layer that facilitates knowledge transfer to communities and a recommendation system based on evolutionary computation to optimize the productivity of urban gardens. Additionally, a recommendation system powered by generative AI (GenAI) is employed to monitor soil conditions based on environmental variables. According to the FAO, climate change is exponentially affecting global agricultural production, with food prices expected to increase by up to 90% by 2030, and hunger and malnutrition rates rising by 2050. To validate the AI and evolutionary computation models, three experiments were conducted in urban gardens, utilizing models such as multiple linear regression, genetic algorithms, ant colony algorithms, and spatial estimation algorithms like the Kriging algorithm, achieving a productivity increase of 25% to 45% in urban lettuce gardens. This approach contributes to the 2030 Agenda for Sustainable Development Goals (SDGs)