A Data-Driven Framework for Predicting Cadmium Risk in Wheat Production. (IMAGE)

Nanjing Institute of Environmental Sciences, MEE

A Data-Driven Framework for Predicting Cadmium Risk in Wheat Production.

Caption

This schematic illustrates the full workflow of a new study that integrates field and literature data, correlation analysis, and predictive modeling—including machine learning and geochemical approaches—to assess cadmium accumulation in wheat. The framework enables accurate estimation of soil cadmium thresholds based on food safety standards, offering a powerful tool for safeguarding wheat production in contaminated regions.

Credit

The authors

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Credit must be given to the creator.

License

CC BY

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