Agri Environmental › Urban Agriculture Contamination Assessment Research
Legacy Contamination Geospatial Mapping and Predictive Modeling in Metropolitan Food Zones
This research develops high-resolution contamination databases and machine-learning predictive models linking historical industrial sites, brownfield proximity, and urban infrastructure to current soil and crop contamination levels. The study generates actionable spatial intelligence for identifying safe versus high-risk urban agricultural locations.
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