Risk Assessment of Agricultural Soil Heavy Metal Pollution Under the Hybrid Intelligent Evaluation Model

Risk Assessment of Agricultural Soil Heavy Metal Pollution Under the Hybrid Intelligent Evaluation Model

As a nationally protected land resource, farmland plays a crucial role in agriculture production and food safety, making the quality of soil and environmental health critically important. Therefore, studying the extent of soil heavy metal pollution in farmland is of great significance for understand...

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Bibliographic Details
Main Authors: Xinbo Chen, Cong Zhang, Ke Yan, Zhihui Wei, Ningshen Cheng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Contamination
farmland protection
geographic information systems
heavy metals
machine learning algorithms
risk assessment
Online Access:https://ieeexplore.ieee.org/document/10264078/

Internet

https://ieeexplore.ieee.org/document/10264078/

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