Urban Agriculture Digital Planning for the European Unions Green Deal

Urban Farm DB summary

This study used the digital agricultural geographic information system AGRO-GIS to calculate and predict potential urban agriculture from abandoned horticultural lands and greenhouses in urban areas, applying binary logistic regression to identify determinants of abandoned horticultural land and greenhouses and ANOVA to test differences in agrarian land variation among urban areas. Results showed an average of 97.85 ha of abandoned horticultural land and greenhouses providing potential urban cultivable land per city; a one-hectare decrease in non-irrigated land was associated with an 87.98% increase in the odds of potential urban agriculture, and a one-hectare increase in grassland-shrubland was associated with a 67.59% increase in the likelihood of potential urban agriculture.